Apress dez 2024 (108 risultati)
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Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK
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Taschenbuch. Condizione: Neu. Neuware -Shader gelten oft als mystisch und schwer zu entwickeln, selbst für erfahrene Programmierer, Künstler und Entwickler aus anderen Bereichen des Spieldesigns. Dieses Buch räumt mit dieser Vorstellung auf, indem es Ihr Wissen über in Stufen aufbaut. Es beginnt mit grundlegenden Shader-Mathemat…iken, erklärt, wie sich die Denkweise der Shader-Entwicklung von anderen Arten von Kunst und Programmierung unterscheidet, und geht dann langsam auf Themen wie Vertex- und Fragment-Shader, Beleuchtung, Tiefenbasierte Effekte, Texture Mapping und Shader Graph ein.Jedes dieser Themen wird mit einer umfassenden Aufschlüsselung, der benötigten Theorie und einigen praktischen Anwendungen für die im jeweiligen Kapitel gelernten Techniken präsentiert. Der HLSL (High Level Shading Language)-Code und Shader Graphs werden für jeden relevanten Abschnitt bereitgestellt, ebenso wie zahlreiche Screenshots.Am Ende des Buches werden Sie ein gutes Verständnis für den Shader-Entwicklungsprozess haben und bestens gerüstet sein, um Ihre eigenen ästhetischen und leistungsstarken Shader-Effekte für Ihre Spiele zu erstellen!Was Sie in diesem Buch lernenShaders in den Rendering-Pipelines von Unity zu verwendenShader zu schreiben und ihr Verhalten mit C#-Skripting zu ändernShader Graph für eine Entwicklung ohne Code zu nutzenDie wichtige Mathematik hinter Shadern zu verstehen, insbesondere RaumtransformationenDie Leistung von Shadern zu analysieren, um Optimierungspotenziale zu identifizierenZielgruppenDieses Buch richtet sich an Anfänger in der Shader-Entwicklung oder Leser, die den Schritt von Shader-Code zum Shader Graph machen möchten. Es enthält auch einen Abschnitt über Shader-Beispiele für diejenigen, die bereits die Grundlagen von Shadern kennen und nach spezifischen Anwendungsfällen suchen. 788 pp. Deutsch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 24,60
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is your essential guide to mastering Snowflake's SQL API, offering a comprehensive understanding of this powerful tool. In today's data-driven world, robust, flexible, and scalable solutions are crucial, and Snowflake's D…ata Cloud platform is a game-changer in cloud data warehousing and analytics. The book includes examples using both Snowflake and the Laravel PHP Framework, assuming basic knowledge of SQL and Laravel.Key topicsinclude SQL API development, SQL basics, advanced techniques, data security, performance tuning, best practices for data warehousing, integrations, real-world use cases, future trends in data analytics, and leveraging PHP in Laravel for dynamic web applications. This book equips you with the skills to unlock insights, make data-driven decisions, and stay ahead in your industry.Whether you're aiming to advance your career, enhance your organization's data infrastructure, or confidently make data-driven decisions,Mastering Snowflake SQL API with Laravel 10is a must-have resource for excelling in integrated data analytics and cloud data warehousing.What You Will LearnMaster SQL fundamentals and advanced techniquesExplore data loading, security, and performance optimizationKeep up-to-date on best practices for efficient data warehousingGain insights into real-word use casesPrepare for future Snowflake and data innovationsWho This Book is ForData professionals, IT managers, business executives, students, and data enthusiasts. 135 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today's global market, supply chain management has become more critical than ever. This book delves into the strategic, operational, and technological aspects of supply chains, offering insights and practical solutions to create… a seamless and resilient supply network. The main topics covered are production planning and inventory control, logistics and distribution, sustainability, risk management and future trends.Companies are facing unprecedented challenges, from geopolitical uncertainties and trade wars to natural disasters and global pandemics. These disruptions can have significant impacts on the supply chain, leading to delays, increased costs, and loss of customer trust. By addressing these critical areas, this book aims to equip you with the knowledge and tools needed to optimize your supply chains, drive innovation, and achieve sustainable success in a dynamic and challenging environment.Whether you are a seasoned supply chain professional or a newcomer to the field, From Source to Shelf provides valuable insights and practical guidance to help you master the art of supply chain management.What You Will LearnUnderstand the fundamental components and functions of supply chain management.Develop and implement effective supply chain strategies that align with overall business objectives.Navigate the complexities of modern supply chain management.Leverage cutting-edge technologiesand implement sustainable and resilient practices.Who This Book is ForSupply Chain professionals, managers, and consultants. 173 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Gain the necessary technical skills, tools, and insights to succeed in the crypto working environment. Changing market conditions have created new opportunities and working conditions. This book goes beyond just getting a job, as i…t shares a myriad of hidden tips on how to thrive within this constantly evolving ecosystem. Through examples and detailed typologies, you'll work out which crypto job is the best fit for you.You'll begin by reviewing some fun facts and anecdotes illustrating life in a Web3 environment, with a careful examination of the various roles in crypto, blockchain, and digital assets. You'll then compare roles in the traditional corporate and financial environments with those in the crypto world from a risk and reward perspective. From there you'll prepare for crypto job interviews with a focus on what to expect and fine-tuning the necessary expertise to excel. Different types of contracts, the onboarding process, communication tools, the intricacies of video conferences, internal storage, and various crypto-specific operational skills will all be clearly explained as well.So You Want to Work in Crypto provides all the strategies you'll need to stay ahead of the curve in the ever-changing crypto world.What You'll LearnExamine what job positions exist in Web3 and how to obtain the right one for you.Prepare yourself for the Web3 environment and the type of job you will get.See how to strategically evolve your career in the world of crypto.Who This Book Is ForAny individual curious about evolving their career, obtaining their first job, or simply looking to find a new, more fulfilling job in an exciting revolutionary industry. 276 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 40,65
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Transition from traditional marketing to digital marketing and master a comprehensive range of topics within this field. This book offers a practical, step-by-step approach to managing digital marketing (with the help of experts) i…n the current landscape, making it a timely and valuable resource for marketers, business owners, and students alike.With an emphasis on referential information, you'll review some of the foundational concepts of digital marketing, including digital assets, advertising channels, formats, and customer awareness. You'll also delve into targeting methods, audience segmentation, and the use of keywords for display and search ads.Gain insights into key digital marketing metrics like CPC, CPV, CPM, clicks, and CTR, and how they impact campaign performance. Learn about conversion tracking, analytics, and how to interpret digital marketing reports to evaluate campaign success. Explore advanced topics such as the use of artificial intelligence in digital marketing for targeting and content optimization. Understand the landscape of legal, tax, and brand protection in the digital space.The book's relevance stems from the increasing dominance of digital channels in marketing. In today's digital age, understanding and effectively utilizing digital marketing strategies is not just important but essential for businesses and marketers. The shift towards digital has been accelerated by technological advancements and changes in consumer behavior, making digital marketing skills more critical than ever, but not every executive and marketing professional has managed to stay on top of its developments.The Digital Marketer's Playbook is an essential guide for those who have foundational knowledge in marketing but are relatively new to the domain of digital marketing.What You Will LearnSee how a digital marketing campaign works (across providers, not provider-specific).Implement campaign optimizations.Explore digital marketing channels, creatives, formats, and advertiser channel providers.Review the wording (jargon) used in the industry (personas, target group, bids, keywords, etc.).Who This Book is ForThose who have implemented marketing campaigns, but they are looking to dive deeper into digital marketing, understand it's particularities and know what to ask for and what to expect from specialists. 568 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is the first comprehensive guide to the intersection of data governance and machine learning (ML) projects. As ML applications proliferate, the quality, reliability, and ethical use of data is central to their success, wh…ich gives ML data governance unprecedented significance. However, adapting data governance principles to ML systems presents unique, complex challenges. Author Aditya Nandan Prasad equips you with the knowledge and tools needed to navigate this dynamic landscape effectively. Through this guide, you will learn to implement robust and responsible data governance practices, ensuring the development of sustainable, ethical, and future-proofed AI applications.The book begins by covering fundamental principles and practices of underlying ML applications and data governance before diving into the unique challenges and opportunities at play when adapting data governance theory and practice to ML projects, including establishing governance frameworks, ensuring data quality and interpretability, preprocessing, and the ethical implications of ML algorithms and techniques, from mitigating bias in AI systems to the importance of transparency in models.Monitoring and maintaining ML systems performance is also covered in detail, along with regulatory compliance and risk management considerations. Moreover, the book explores strategies for fostering a data-driven culture within organizations and offers guidance on change management to ensure successful adoption of data governance initiatives. Looking ahead, the book examines future trends and emerging challenges in ML data governance, such as Explainable AI (XAI) and the increasing complexity of data.What You Will LearnComprehensive understanding of machine learning and data governance, including fundamental principles, critical practices, and emerging challengesNavigatingthe complexities of managing data effectively within the context of machine learning projectsPractical strategies and best practices for implementing effective data governance in machine learning projectsKey aspects such as data quality, privacy, security, and ethical considerations, ensuring responsible and effective use of dataPreparation for the evolving landscape of ML data governance with a focus on future trends and emerging challenges in the rapidly evolving field of AI and machine learningWho This Book Is ForData professionals, including data scientists, data engineers, AI developers, or data governance specialists, as well as managers or decision makers looking to implement or improve data governance practices for machine learning projects 992 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 48,14
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Develop elegant and rock-solid systems using PHP, aided by three key elements: object fundamentals, design principles, and best practices. Now in its 7th edition, this book has been fully updated for PHP 8.3 and split into two volu…mes to better accommodate its wealth of new content. Volume 1 covers objects and patterns, while Volume 2 focuses on tools and best practices.You'll begin this volume by reviewing PHP's object-oriented features including key topics such as class declarations, inheritance, and reflection.The second part of the book is devoted to design patterns. It explains the principles that make patterns powerful and covers many of the classic design patterns, as well as enterprise and database patterns.This volume provides a solid grounding in PHP's support for objects and builds on this foundation to apply the core principles of software design. New topics covered include read only classes, enumerations, typed class constants, as well as various additions to argument and return types. The knowledge gained from this book will help you master the object-oriented enhancements and the design patterns available for PHP 8, paving the way for developing best practices in Volume 2.What You Will LearnWork with object fundamentals.Write classes and methods, instantiate objects, and create powerful class hierarchies using inheritance.Master advanced object-oriented features, including static methods and properties.Manage error conditions with exceptions and create abstract classes and interfaces.Use design principles to deploy objects and classes effectively in your projects.Discover a set of powerful patterns that you can implement in your own projects.Who This Book Is ForAnyone with at least a basic knowledge of PHP who wants to use its object-oriented features in their projects. 652 pp. Englisch.
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Lingua: Inglese
Editore: Apress, Apress Dez 2024, 2024
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The advent of Internet of Things (IoT) has paved the way for sensing the environment and smartly responding. This can be further improved by enabling intelligence to the system with the support of machine learning and deep learning… techniques. This book describes learning algorithms that can be applied to IoT-based, real-time applications and improve the utilization of data collected and the overall performance of the system.Many societal challenges and problems can be resolved using a better amalgamation of IoT and learning algorithms. 'Smartness' is the buzzword that is realized only with the help of learning algorithms. In addition, it supports researchers with code snippets that focus on the implementation and performance of learning algorithms on IoT based applications such as healthcare, agriculture, transportation, etc. These snippets include Python packages such as Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, and more.Learning Algorithms for Internet of Things provides you with an easier way to understand the purpose and application of learning algorithms on IoT.What you'll LearnSupervised algorithms such as Regression and Classification.Unsupervised algorithms, like K-means clustering, KNN, hierarchical clustering, principal component analysis, and more.Artificial neural networks for IoT (architecture, feedback, feed-forward, unsupervised).Convolutional neural networks for IoT (general, LeNet, AlexNet, VGGNet, GoogLeNet, etc.).Optimization methods, such as gradient descent, stochastic gradient descent, Adagrad, AdaDelta, and IoT optimization.Who This Book Is For Students interested in learning algorithms and their implementations, as well as researchers in IoT looking to extend their work with learning algorithms 320 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Embark on a journey through the Agile-Enterprise Solution Architecture (A-ESA) framework with this in-depth guide designed to provide a structured approach to IT solution modeling. The modeling approach is based on the principles o…f simplicity, significance, and systematics. It effectively addresses architectural debt issues in today's agile and large-scale IT solutions.Beginning with a foundational overview of A-ESA model specifications, the book introduces readers to the intent and unique methodologies behind A-ESA. It then delves into practical demonstrations through example solution cases, offering real-world context and insights into various architectural styles. Each chapter builds on this knowledge, covering the governing ideas of the thinking framework and essential topics such as key metrics, and modeling considerations for diverse architectural styles, ensuring a thorough understanding of A-ESA's application in different contexts.The book also emphasizes the link between enterprise architecture (EA) and solution architecture (SA), and the importance of governance and measurement in maintaining the integrity and effectiveness of architectural solutions. Readers will explore critical metrics, governance techniques, and the impact of agile modeling on purpose and architectural leading practices. With practical examples, measurement techniques, and governance strategies, this guide equips readers with the cognitive and practical tools necessary for strategic and effective architectural thinking. Concluding with reflections and future outlooks, this comprehensive guide offers valuable insights for mastering IT solution modeling within the A-ESA framework.You Will:Gain hands-on experience with the Agile-Enterprise Solution Architecture (A-ESA) framework through detailed examples and solution cases that illustrate various architectural styles and modeling techniques.Understand the critical metrics and model mappings necessary for evaluating architectural quality and performance.Develop a deep understanding of the A-ESA architectural thinking, including strategic, enterprise, business, data, and cloud architecture considerationsThis book is for : IT architects, enterprise architects, and solutions architects. 528 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is yourcomprehensive guide to creating powerful, end-to-end deep learning workflows on Amazon Web Services (AWS). The book explores how to integrate essential big data tools and technologies-such as PySpark, PyTorch, Tens…orFlow, Airflow, EC2, and S3-to streamline the development, training, and deployment of deep learning models.Starting with the importance of scaling advanced machine learning models, this book leverages AWS's robust infrastructure and comprehensive suite of services. It guides you through the setup and configuration needed to maximize the potential of deep learning technologies. You will gain in-depth knowledge of building deep learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.The book provides insights into setting up an AWS environment, configuring necessary tools, and using PySpark for distributed data processing. You will also delve into hands-on tutorials for PyTorch and TensorFlow, mastering their roles in building and training neural networks. Additionally, you will learn how Apache Airflow can orchestrate complex workflows and how Amazon S3 and EC2 enhance model deployment at scale.By the end of this book, you will be equipped to tackle real-world challenges and seize opportunities in the rapidly evolving field of deep learning with AWS. You will gain the insights and skills needed to drive innovation and maintain a competitive edge in today's data-driven landscape.What You Will LearnMaximize AWS services for scalable and high-performancedeep learning architecturesHarness the capacity of PyTorch and TensorFlow for advanced neural network developmentUtilize PySpark for efficient distributed data processing onAWSOrchestrate complex workflows withApache Airflow for seamless data processing, model training, and deploymentWho This Book Is ForData scientists looking to expand their skill set to include deep learning on AWS, machine learning engineers tasked with designing and deploying machine learning systems who want to incorporate deep learning capabilities into their applications, AI practitioners working across various industries who seek to leverage deep learning for solving complex problems and gaining a competitive advantage 780 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book helps you explore the fusion of artificial intelligence with the world of online retail, providing an in-depth understanding of how AI technologies are revolutionizing ecommerce. From decoding ecommerce business models to… optimizing efficiency in ecommerce deliveries, each chapter delves into a specific aspect of AI-powered ecommerce, providing practical insights and strategies for success.The journey commences with decoding ecommerce business models in a diverse landscape. From direct selling to marketplace platforms, the book illuminates the inner workings of each model, exploring revenue drivers, cost considerations, and the components of profitability. As you progress through the book, it delves deeper into the ecommerce platform itself, exploring its role in facilitating transactions and nurturing customer relationships. Subsequent chapters delve into the intricacies of merchandising in ecommerce, search, recommendation engines, ranking algorithms, personalization techniques, and efficiency improvements. From teaching the science behind matching queries to products to crafting personalized customer experiences, each chapter offers invaluable insights and actionable strategies for leveraging AI in ecommerce.Whether you're a seasoned ecommerce professional or a newcomer, this book equips you with the knowledge and actionable use cases needed to stay ahead of the curve in an increasingly competitive landscape.What You Will LearnUnderstand the buyer and seller aspects of ecommerce platforms and how they engage customersKnow the diverse landscape of ecommerce business modelsApply AI/ML technologies to ecommerce to enhance user experience and drive business outcomesKnow how AI/ML can influence revenue generation and cost optimization in ecommerce businessesWho This Book Is ForData scientists, machine learning engineers, product and category managers in ecommerce, and business executives 268 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 53,49
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This transformative book explores the power of artificial intelligence (AI) in revolutionizing the utilities industry. It covers crucial topics such as intelligent grids, decentralized energy resources, customer engagement, electri…c vehicle integration, and more, providing a comprehensive and practical guide to successfully navigate the energy transition.In today's world, the urgency of addressing climate change and transitioning to sustainable energy systems is undeniable. With approximately 60 percent of global greenhouse gas emissions attributed to the energy sector, utilities play a vital role in achieving sustainability goals. The traditional utility business model faces disruption from renewable energy, changing consumer expectations, and regulatory shifts. Embracing AI emerges as a key solution to optimize operations, enhance grid reliability, and meet evolving customer demands.Through compelling case studies and industry-specific use cases, you will discover how AI drives innovation, improves operational efficiency, and contributes to a greener and more sustainable world. As the demand for cleaner and more sustainable energy practices grows, this book demonstrates how AI can support utilities in meeting these demands, making them more resilient, agile, and customer-centric.Whether you're a seasoned industry expert or a curious student, this book equips you with the knowledge and insights to embrace sustainability, navigate the complex energy landscape, leverage AI to shape a positive future, and join the movement towards a greener world, empowered by AI's potential in the utilities industry.What You Will LearnUnderstand the challenges and opportunities for utilities in the context of climate change, energy poverty, and the evolving business landscapeDiscover how rapid transformation is needed in the utilities sector to overcome challenges and leverage opportunities for a sustainable futureGain insight into the role of technology, particularly artificial intelligence (AI), as a critical tool for utilities in their transformation journeyBe aware of how AI can be applied in building the future utility industry, including its potential impact on energy efficiency, intelligent energy ecosystems, community engagement, and new business modelsGain knowledge of the adoption of AI and machine learning technologies in the utility industry, including the current state, barriers, significant influencing factors, and an AI adoption maturity model for utilitiesRecognize the sustainability imperative for utilities and how AI can help in achieving sustainable energy practicesBecome familiar with the transformation of power generation, microgrids, intelligent transmission and distribution systems, utilities retail, mobility through electric vehicles, and the integration of distributed energy resources(DER) using AIGain insight into the potential of AI in addressing challenges and driving innovation in the energy ecosystem, such as optimizing power generation assets, enhancing grid intelligence, improving customer service, and enabling clean energy awareness in the metaverseWho This Book Is ForProfessionals and decision makers in the global utilities industry who want to leverage artificial intelligence (AI) technologies to transform their operations and address challenges and opportunities in the energy sector. This book may also appeal to researchers, academics, and students in the fields of energy engineering, environmental science, data analytics, and AI who want to gain a deeper understanding of AI in the utilities sector and its implications for sustainable energy systems. 206 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The world of SAP is undergoing a major transformation, with many customers either planning or actively modernizing their SAP landscapes as part of the S/4HANA digital transformation. Given the extensive SAP transformation efforts a…dopted by nearly all SAP customers in recent years and the profound impact these digital changes have had on their business models and IT organizations, the authors decided to write this book. As customers embark on their SAP on AWS journey, they face three main challenges: deciding on the overall strategy, selecting the right business use cases and implementing them effectively. This book aims to address these challenges by guiding readers through the process of identifying and executing the appropriate use cases. It will highlight how customers can harness AWS services beyond merely hosting their SAP systems on AWS, demonstrating the potential of these services to drive innovation. This book covers the entire journey, from defining strategy and identifying business use cases to their implementation, providing practical tips, strategies, and insights. It serves as an essential guide for customers planning to migrate or those who have already migrated their SAP workloads to AWS, helping them explore beyond just the infrastructure aspects of their journey.You Will :Discover how to go beyond just hosting SAP systems on AWS, using the full range of AWS services to innovate and extend your SAP applications.Learn how to identify therightbusiness use cases and implement themeffectively,with practical examples and real-world scenarios.Develop the mindset and skills needed to architect modern, cloud-native, event-driven architectures, balancing trade-offs between simplicity, efficiency, and cost.This book is for:Business leaders, IT professionals, and SAP specialists who are looking to modernize their SAP landscapes by leveraging AWS services 475 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Discover how Artificial Intelligence (AI) is transforming the fields of software development,testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical ap…plications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance.Aimed at digital leaders, practitioners, and customers, this book provides strategic insightsand actionable guidance on how to integrate AI technologies to boost productivity, enhanceproduct quality, and streamline development cycles. It serves as a comprehensive guidefor those looking to leverage AI to drive innovation, cut costs, and stay competitive in anever-evolving technological landscape.You'll explore how AI can be integrated into software development, testing, and IT operationsto improve efficiency, accuracy, and speed. Through real-world use cases, you'll see howAI-driven tools can automate tasks, reduce human error, and improve processes acrossthe development lifecycle. AI Integration in Software Development and Operations offersactionable insights on using AI to accelerate innovation, enhance product quality, and optimizecosts in your modern software and IT environments.What You Will LearnReview the SDLC lifecycle, DevOps, SRE and accompanying topicsUnderstand machine learning basics, AI techniques, and data preprocessing for DevOpsExplore how AI integration into all phases of SDLC boosts productivity, increaseseffectiveness, and reduces human errorGain a familiarity with AI tools, their use cases, and the value in integrating themWho This Book is ForSoftware engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices. 340 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today's world, understanding data analytics, data science, and artificial intelligence is not just an advantage but a necessity. This book is your thorough guide to learning these innovative fields, designed to make the learning… practical and engaging.The book starts by introducing data analytics, data science, and artificial intelligence. It illustrates real-world applications, and, it addresses the ethical considerations tied to AI. It also explores ways to gain data for practice and real-world scenarios, including the concept of synthetic data. Next, it uncovers Extract, Transform, Load (ETL) processes and explains how to implement them using Python. Further, it covers artificial intelligence and the pivotal role played by machine learning models. It explains feature engineering, the distinction between algorithms and models, and how to harness their power to make predictions. Moving forward, it discusses how to assess machine learning models after their creation, with insights into various evaluation techniques. It emphasizes the crucial aspects of model deployment, including the pros and cons of on-device versus cloud-based solutions. It concludes with real-world examples and encourages embracing AI while dispelling fears, and fostering an appreciation for the transformative potential of these technologies.Whether you're a beginner or an experienced professional, this book offers valuable insights that will expand your horizons in the world of data and AI.What you will learn:What are Synthetic data and Telemetry dataHow to analyze data using programming languages like Python and Tableau.What is feature engineeringWhat are the practical Implications of Artificial IntelligenceWho this book is for:Data analysts, scientists, and engineers seeking to enhance their skills, explore advanced concepts, and stay up-to-date with ethics. Business leaders and decision-makers across industries are interested in understanding the transformative potential and ethical implications of data analytics and AI in their organizations. 232 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Manage supplier objectives effectively to align project and organizational success within your organization. This book introduces a dedicated method for suppliers to follow to ensure that all relevant targets and expectations are s…uccessfully meet. The method integrates a day-to-day high awareness, urgency, and focus on the management of all relevant objectives within the supplier's project to provide maximum benefit for its organization.You'll learn that formal targets are routinely established at the start of a project and captured in a contract or project charter. Formal customer expectations, such as timelines, scope, and budget, have high focus and are often pitted against internal day-to-day challenges, such as cost increases and other unexpected changes. These challenges can seem even more daunting as a project progresses, especially when other stakeholders have expectations as well. When not managed properly, this can obstruct the focus of less urgent or informal objectives, such as employee development, process assets, and lessons learned, some of which provide a critical benefit for the supplier's organization and its future.To combat this, you'll follow detailed instructions on how to handle such potential roadblocks and how to focus on achieving all relevant project objectives by applying the established method. Each chapter expands the dedicated method itself and provides insight into this philosophy. In the end you'll have all the necessary prerequisites for a successful implementation of these principles within your organization.What You Will LearnDefine organizational objectives aligned with the organization's purpose and valuesPrioritize and align project specific objectives with the organizational objectivesFacilitate to achieve the project objectivesHandle day-to-day challenges with managing the project objectivesBalance customer and supplier targets and expectationsWho This Book is ForProject management professionals with various levels of skill and experience working at small-to-medium sized project suppliers, both for-profit and non-profit organisations. 376 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the fast-evolving digital landscape, understanding the potential of generative AI is a strategic advantage. This book can serve as an easy to read introduction to the topic of the transformative power of AI in content creation,…customer engagement, and operational efficiency. By deciphering complex AI concepts into practical insights, we empower decision-makers to envision innovative strategies, foster cross-industry collaborations, and navigate ethical considerations. The book will help executives and business decision makers to harness the immense potential of generative AI responsibly, ensuring data integrity and compliance while fostering a competitive edge. The book is focused on (1) Explaining in jargon-free language what Generative AI, and AI in general, (2) What problems they solve, and (3) What technologies make them possible.What You Will LearnHow generative AI models are built, how they generate new data or content, and the underlying algorithms powering these processesVarious practical applications of generative AI in business contextsThe challenges that could arise during the integration of generative AI into business processesWho This Book is ForThis book is meant to be bought and read by busy executives and business leaders 186 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book simplifies the process of formalizing your cybersecurity program into something you can easily understand. Breaking down complex concepts into clear, manageable steps, the concepts are accessible even to those without a d…eep technical background. It ensures that more individuals within your organization can effectively contribute to building and maintaining a robust cybersecurity program. The book's structured framework focuses on the four key areas essential for any successful cybersecurity initiative, allowing you to prioritize efforts and transition from a reactive to a proactive stance.'CyberDynamX' addresses the common challenge of developing efficient and comprehensive cybersecurity programs. Many tasked with this responsibility are not dedicated cybersecurity professionals, often juggling these duties alongside their primary roles. This can lead to fragmented efforts and incomplete solutions. The book provides clear, concise guidance that is easy to follow, ensuring meaningful progress even for those new to cybersecurity. By offering practical, actionable advice, 'CyberDynamX' helps streamline the development process, enabling you to build an effective cybersecurity program that meets your organization's needs swiftly and efficiently.What You Will Learn:The fourthings to radically focus on in building a functional cybersecurity program.The importance of Risk Management and the means to get started performing this function.The significant difference between Policy, Standards, Procedures, Guidance and Baselines; when to use each and how to build them.Who This Book is for:The market includes a wide range of professionals such as Chief Information Security Officers (CISOs), IT managers, cybersecurity analysts, compliance officers, and risk management professionals who are tasked with developing, implementing and even reviewing effective security programs. Additionally, senior executives and board members seek guidance to ensure that their organizations are not only compliant with regulatory requirements but also resilient against cyber threats. 284 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Delve into the nuances of photo and video editing with Metal, a framework from Next Generation GPU APIs. Right now, the demand for media editors is growing exponentially, with multiple applications needing some form of image proces…sing, including messengers, social networks, marketplace, and banking applications. This book provides detailed guidelines for reimplementation instruments from one of the more popular photo and video editors.Begin your journey by reviewing the rationale for using Metal, and an overview of the reasons why this this is the best performance solution. Rasterization is then covered to provide a basis for understanding how image editing in Metal works. You'll look at aspects of image processing such as rendering, image transformations, and working with textures. This knowledge then leads you to image editing, where it is applied to make basic color adjustments, shadows, blur, vignette, and color correction with LUT filters. These are fundamental aspects of any media editing software.Layers make up the final section of the book, including different compositions and blend modes, both essential tools for any image editor. You'll conclude the journey with a look at video editing with Metal. Through hands-on projects in each chapter, you will learn how to apply these techniques directly in real-world scenarios, giving a great starting point to implement any kind of media processing in your own applications.What You Will LearnUnderstand fundamental concepts of GPU rendering to complex image and video processing techniquesSee how shaders are accessed in the rendering pipelineCreate and import texturesReview image and video editing techniques, from simple color adjustment to complex filters, layer composition, and real-time video effectsWho This Book Is ForIntermediate Swift developers interested in photo and video editing or diving deeper into understanding how GPU media processing works. 316 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Analyse how AI and other cutting-edge technologies affect the complex web of international financial transactions. The global remittance sector and artificial intelligence (AI) work together in a way that is testament to the revolu…tionary force of innovation in the always changing financial and technology landscape. As we stand at the threshold of a new age, this book aims to explore the layers of complexity underlying the confluence of AI and remittances. Your investigation will go beyond the current state of affairs and into the future, whereby predictive analytics and autonomous financial transactions will fundamentally alter the way that we send and receive money internationally. This process's incorporation of AI technology represents a revolution rather than a simple progression, one that might improve millions of people's lives by streamlining, securing, and lowering the cost of financial transactions. This book breaks down the complex workings of AI prediction models, reveals how blockchain integration may be used to facilitate safe and transparent transactions, and examines how biometric authentication can strengthen the security of financial transactions. It dives into the complexities of regulatory compliance, understanding the difficult balance between innovation and conformity to existing standards.When machines carry out transactions based on complex algorithms and current market circumstances, what does it entail for people and economies What effect does this change have on how people make financial decisions This book is an invitation to imagine a future in which financial systems are not just efficient but also naturally intelligent. It is a call to reflect on the moral ramifications, the effects on society, and the obligations that accompany the dawn of a new era of financial opportunity. Remittances are about to undergo a revolution, and you have a crucial role to play in determining how this will play out.What You'll LearnUnderstand the integration of AI and other technology in remittancesto enhance efficiency, security, and cost-effectiveness of cross-border financial transactions.Examine the impact of AI-driven cross border flows on global economic development, particularly in communities heavily reliant on remittances.Investigate the social benefits and potential challenges posed by AI in maintaining or altering familial and community ties through remittance flowsCritically evaluate regulatory and ethical challenges while fostering innovation and adhering to existing financial laws and standards.Explore future scenarios whereAI governs autonomous financial transactions andthe role of humans in an AI-driven financial ecosystem.Debate how such changes might redefine personal and communal financial interactions.Who This Book Is ForFinTech practitioners, Finance students, professionals in working in Payments and/or Remittances 144 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This comprehensive guide provides practical strategies for optimizing Generative AI systems to be more sustainable and responsible. As advances in Generative AI such as large language models accelerate, optimizing these resource-in…tensive workloads for efficiency and alignment with human values grows increasingly urgent.The book starts with the concept of Generative AI and its wide-ranging applications, while also delving into the environmental impact of AI workloads and the growing importance of adopting sustainable AI practices. It then delves into the fundamentals of efficient AI workload management, providing insights into understanding AI workload characteristics, measuring performance, and identifying bottlenecks and inefficiencies. Hardware optimization strategies are explored in detail, covering the selection of energy-efficient hardware, leveraging specialized AI accelerators, and optimizing hardware utilization and scheduling for sustainable operations. You are also guided through software optimization techniques tailored for Generative AI, including efficient model architecture, compression, and quantization methods, and optimization of software libraries and frameworks. Data management and preprocessing strategies are also addressed, emphasizing efficient data storage, cleaning, preprocessing, and augmentation techniques to enhance sustainability throughout the data life cycle. The book further explores model training and inference optimization, cloud and edge computing strategies for Generative AI, energy-efficient deployment and scaling techniques, and sustainable AI life cycle management practices, and concludes with real-world case studies and best practicesBy the end of this book, you will take away a toolkit of impactful steps you can implement to minimize the environmental harms and ethical risks of Generative AI. For organizations deploying any type of generative model at scale, this essential guide provides a blueprint for developing responsible AI systems that benefit society.What You Will LearnUnderstand how Generative AI can be more energy-efficient through improvements such asmodel compression, efficient architecture, hardware optimization, and carbon footprint trackingKnowthe techniques to minimize data usage, includingevaluation, filtering, synthesis, few-shot learning, and monitoring data demands over timeUnderstand spanning efficiency, data minimization, and alignment for comprehensive responsibilityKnow the methods for detecting, understanding, and mitigating algorithmic biases, ensuring diversity in data collection, and monitoring model fairnessWho This book Is ForProfessionals seeking to adopt responsible and sustainable practices in their Generative AI work; leaders and practitioners who need actionable strategies and recommendations that can be implemented directly in real-world systems and organizational workflows; ML engineers and data scientists building and deploying Generative AI systems in industry settings; and researchers developing new generative AI techniques, such as at technology companies or universities 334 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Harness the capabilities of Python and gain the expertise need to master data science techniques. This step-by-step book guides you through using Python to achieve tasks related to data cleaning, statistics, and visualization.You'l…l start by reviewing the foundational aspects of the data science process. This includes an extensive overview of research points and practical applications, such as the insightful analysis of presidential elections. The journey continues by navigating through installation procedures and providing valuable insights into Python, data types, typecasting, and essential libraries like Pandas and NumPy. You'll then delve into the captivating world of data visualization. Concepts such as scatter plots, histograms, and bubble charts come alive through detailed discussions and practical code examples, unraveling the complexities of creating compelling visualizations for enhanced data understanding.Statistical analysis, linear models, and advanced data preprocessing techniques are also discussed before moving on to preparing data for analysis, including renaming variables, variable rearrangement, and conditional statements. Finally, you'll be introduced to regression techniques, demystifying the intricacies of simple and multiple linear regression, as well as logistic regression.What You'll LearnUnderstand installation procedures and valuable insights into Python, data types, typecastingExamine the fundamental statistical analysis required in most data science and analytics reportsClean the most common data set problemsUse linear progression for data predictionWho This Book Is ForData Analysts, data scientists, Python programmers, and software developers new to data science. 180 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is your essential guide to mastering Snowflake's SQL API, offering a comprehensive understanding of this powerful tool. In today's data-driven world, robust, flexible, and scalable solutions are crucial, and Snowflake's Data…Cloud platform is a game-changer in cloud data warehousing and analytics. The book includes examples using both Snowflake and the Laravel PHP Framework, assuming basic knowledge of SQL and Laravel.Key topics include SQL API development, SQL basics, advanced techniques, data security, performance tuning, best practices for data warehousing, integrations, real-world use cases, future trends in data analytics, and leveraging PHP in Laravel for dynamic web applications. This book equips you with the skills to unlock insights, make data-driven decisions, and stay ahead in your industry.Whether you're aiming to advance your career, enhance your organization's data infrastructure, or confidently make data-driven decisions, Mastering Snowflake SQL API with Laravel 10 is a must-have resource for excelling in integrated data analytics and cloud data warehousing.What You Will LearnMaster SQL fundamentals and advanced techniquesExplore data loading, security, and performance optimizationKeep up-to-date on best practices for efficient data warehousingGain insights into real-word use casesPrepare for future Snowflake and data innovationsWho This Book is ForData professionals, IT managers, business executives, students, and data enthusiasts.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 152 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In today's global market, supply chain management has become more critical than ever. This book delves into the strategic, operational, and technological aspects of supply chains, offering insights and practical solutions to create a s…eamless and resilient supply network. The main topics covered are production planning and inventory control, logistics and distribution, sustainability, risk management and future trends.Companies are facing unprecedented challenges, from geopolitical uncertainties and trade wars to natural disasters and global pandemics. These disruptions can have significant impacts on the supply chain, leading to delays, increased costs, and loss of customer trust. By addressing these critical areas, this book aims to equip you with the knowledge and tools needed to optimize your supply chains, drive innovation, and achieve sustainable success in a dynamic and challenging environment.Whether you are a seasoned supply chain professional or a newcomer to the field, From Source to Shelf provides valuable insights and practical guidance to help you master the art of supply chain management.What You Will LearnUnderstand the fundamental components and functions of supply chain management.Develop and implement effective supply chain strategies that align with overall business objectives.Navigate the complexities of modern supply chain management.Leverage cutting-edge technologies and implement sustainable and resilient practices.Who This Book is ForSupply Chain professionals, managers, and consultants.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 192 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master Oracle Database administration in both on-premises and cloud environments. This new edition covers the tasks you'll need to perform to keep your databases tuned and performing, and includes new, important innovations with AI… Vector Search, JSON Duality Views, and Select AI. Since Oracle Database 23ai offers a choice of platforms with on-premises and cloud, the book also includes administrative tasks specific to cloud environments, including the Oracle Autonomous Database running in the Oracle Cloud Infrastructure. New in this edition is help for DBAs who are becoming involved in data management, and a look at the idea of a converged database and what that means in handling various data types and workloads. The book covers some of the machine learning features now in Oracle and shows how the same SQL that you know for database administration also helps you with data management tasks. The information in this book helps you to apply the right solution at the right time, mitigating risk and making robust choices that protect your data and avoid midnight phone calls.Data management is increasingly a DBA function, and DBAs are often called upon for help in getting data loaded into analytics environments such as a data lakehouse or a data mesh. This book addresses this fast-growing new role for database administrators and helps you build on your existing knowledge to make the transition into a new skill set that is in high demand. You'll learn how to look at data optimization from the standpoint of data analysis and machine learning so that you can be seen as a key player in preparing your organization's data for those type of activities. You'll know how to pull back information from a combination of relational tables and JSON structures. You'll become familiar with the tools that Oracle Database provides to make analytics easier and more straightforward. And you'll learn simpler ways to manage time-based tables that eliminate the need for painfully creating triggers to track the history of row changes over time.This book builds your skills as an Oracle Database administrator with the aim of helping you to be seen as a key player in data management as your organization pivots toward cloud computing and a greater use of machine learning and analytics technologies.What You Will LearnConfigure and manage Oracle 23ai databases both on-premises and in the cloudMeet your DBA responsibilities in the Oracle Cloud and with Database Cloud ServicesLeverage converged database capabilities to manage different workloads, structured and unstructured dataPerform administrative tasks for Autonomous Database dedicated environmentsPerform DBA tasks and effectively use data management toolsMigrate from on-premises to the Oracle Cloud InfrastructureTroubleshoot issues with Oracle 23ai databases and quickly solve performance problemsArchitect cloud, on-premises, hybrid, and multi-cloud database environmentsWho This Book Is ForOracle database administrators (DBAs) who want to be current with the new features in Oracle Database 23ai. For any DBA who is tasked with managing Oracle databases in cloud, hybrid cloud, and multi-cloud configurations. Also helpful for data architects who are designing analytic solutions in data lake house and data mesh environments. 628 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses deep learning, from its fundamental principles to its practical applications, with hands-on exercises and coding. It focuses on deep learning techniques and shows how to apply them across a wide range of practic…al scenarios.The book begins with an introduction to the core concepts of deep learning. It delves into topics such as transfer learning, multi-task learning, and end-to-end learning, providing insights into various deep learning models and their real-world applications. Next, it covers neural networks, progressing from single-layer perceptrons to multi-layer perceptrons, and solving the complexities of backpropagation and gradient descent. It explains optimizing model performance through effective techniques, addressing key considerations such as hyperparameters, bias, variance, and data division. It also covers convolutional neural networks (CNNs) through two comprehensive chapters, covering the architecture, components, and significance of kernels implementing well-known CNN models such as AlexNet and LeNet. It concludes with exploring autoencoders and generative models such as Hopfield Networks and Boltzmann Machines, applying these techniques to a diverse set of practical applications. These applications include image classification, object detection, sentiment analysis, COVID-19 detection, and ChatGPT.By the end of this book, you will have gained a thorough understanding of deep learning, from its fundamental principles to its innovative applications, enabling you to apply this knowledge to solve a wide range of real-world problems.What You Will LearnWhat are deep neural networks What is transfer learning, multi-task learning, and end-to-end learning What are hyperparameters, bias, variance, and data division What are CNN and RNN Who This Book Is ForMachine learning engineers, data scientists, AI practitioners, software developers, and engineers interested in deep learning 384 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Take a 360-degree tour of the engineering manager's role and responsibilities. This book brings them to life with practical scenarios and references and ensures their relevance to your daily work.From upkeeping technical skills, to… managing people and stakeholders, to ensuring timely deliverables, the job of the engineering manager is fast-paced, complex, and often short on learning resources. Fear not, this book has you covered with tips on managing evolving processes, delivering impactful projects in a timely manner, setting goals and priorities among product and technical initiatives, and helping your team focus and deliver.Business priorities are changing at a much faster pace than ever before with new technologies being introduced and adopted regularly. This book will help managers adopt modern practices to meet this moment and aid them in helping engineering teams succeed. The Complete Engineering Manager will leave you with a broader perspective and deeper skill set to apply to engineering management.What You Will LearnEmploy the SELF framework for self-management and learn to build trust with team membersManage performance and craft individualized growth plans for employee successEvolve your team's development, delivery, and technical processes to improve their efficiencyDrive impact for your organization through prioritization, strategy and value deliveryBuild a high-performing engineering team with a strong and positive cultureWho This Book is ForNew, aspiring, and experienced engineering managers who are looking for resources to address challenges in their role. 408 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Future-proof your programming career through practical projects designed to grasp the intricacies of LangChain's components, from core chains to advanced conversational agents. This hands-on book provides Python developers with the… necessary skills to develop real-world Large Language Model (LLM)-based Generative AI applications quickly, regardless of their experience level.Projects throughout the book offer practical LLM solutions for common business issues, such as information overload, internal knowledge access, and enhanced customer communication. Meanwhile, you'll learn how to optimize workflows, enhance embedding efficiency, select between vector stores, and other optimizations relevant to experienced AI users. The emphasis on real-world applications and practical examples will enable you to customize your own projects to address pain points across various industries.Developing LangChain-based Generative AI LLM Apps with Python employs a focused toolkit (LangChain, Pinecone, and Streamlit LLM integration) to practically showcase how Python developers can leverage existing skills to build Generative AI solutions. By addressing tangible challenges, you'll learn-by-be doing, enhancing your career possibilities in today's rapidly evolving landscape.What You Will Learn Understand different types of LLMs and how to select the right ones for responsible AI.Structure effective prompts.Master LangChain concepts, such as chains, models, memory, and agents.Apply embeddings effectively for search, content comparison, and understanding similarity.Setup and integrate Pinecone vector database for indexing, structuring data, and search.Build Q & A applications for multiple doc formats.Develop multi-step AI workflow apps using LangChain agents.Who This Book Is ForPython programmers who aim to develop a basic understanding of AI concepts and move from LLM theory to practical Generative AI application development using LangChain; those seeking a structured guide to enhance their careers by learning to create robust, real-world LLM-powered Generative AI applications; data scientists, analysts, and experienced developers new to LLMs. 536 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Navigate the complex landscape of Artificial Intelligence (AI) governance and model risk management using a holistic approach encompassing people, processes, and technology. This book provides practical guidance, oversight structur…e and centers of excellence, and actionable insights for organizations seeking to harness the power of AI responsibly, ethically, and transparently. By addressing the technical, ethical, and societal dimensions of AI governance, organizations will be empowered to build trustworthy AI systems that benefit both their bottom line and the broader community.Featuring successful mitigating controls based on proven use cases, the book underscores the importance of aligning AI strategy with AI governance, striking a balance between AI innovation, risk mitigation as well as broader business goals. You'll receive pointers for designing a well-governed AI development lifecycle, emphasizing transparency, accountability, and continuous monitoring throughout the AI development lifecycle. This book highlights the importance of collaboration between stakeholders, i.e., boards of directors, CxOs, corporate counsel, compliance officers, audit executives, data scientists, developers, validators, etc.You'll gain practical advice on addressing the challenges related to the ownership of AI-generated content and models, stressing the need for legal frameworks and international collaboration. You'll also learn the importance of auditing AI systems, developing protocols for rapid response in case of AI-related crises, and building capacity for AI actors through education. Principles of AI Governance and Model Risk Management demonstrates its value-added uniqueness by detailing a strategy to ensure a cohesive approach to managing AI-related risks, global compliance, policy, privacy, and AI-human collaboration and oversight.What You Will LearnDifferent approaches to AI adoption, from building in-house AI capabilities to partnering with external providersKey factors to consider when choosing an AI solution and how to ensure its successful integration into existing workflowsAI technologies, their business impact, and ethical considerations to make informed decisions and foster responsible AIThe environmental impacts of AI systems and the need for sustainable practices in AI development and deployment.Who This Book is ForBusiness executives and process owners/representatives, risk officers, cybersecurity professionals, legal counsel and ethics officers, human resource professionals, data scientists, AI developers, and CTOs. 504 pp. Englisch.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Explore Snowflake's core concepts and unique features that differentiates it from industry competitors, such as, Azure Synapse and Google BigQuery. This book provides recipes for architecting and developing modern data pipelines on… the Snowflake data platform by employing progressive techniques, agile practices, and repeatable strategies.You'll walk through step-by-step instructions on ready-to-use recipes covering a wide range of the latest development topics. Then build scalable development pipelines and solve specific scenarios common to all modern data platforms, such as, data masking, object tagging, data monetization, and security best practices. Throughout the book you'll work with code samples for Amazon Web Services, Microsoft Azure, and Google Cloud Platform. There's also a chapter devoted to solving machine learning problems with Snowflake.Authors Dillon Dayton and John Eipe are both Snowflake SnowPro Core certified, specializing in data and digital services, and understand the challenges of finding the right solution to complex problems. The recipes in this book are based on real world use cases and examples designed to help you provide quality, performant, and secured data to solve business initiatives.What You'll LearnHandle structured and un- structured data in Snowflake.Apply best practices and different options for data transformation.Understand data application development.Implement data sharing, data governance and security.Who This book Is ForData engineers, scientists andanalysts moving into Snowflake, looking to build data apps.This book expects basic knowledge in Cloud (AWS or Azure or GCP),SQL and Python 420 pp. Englisch.
