Machine learning deep big (108 risultati)

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Paperback. Condizione: Brand New. 103 pages. 9.00x6.00x0.24 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Brand New. 182 pages. 10.35x8.35x0.63 inches. In Stock.

Condizione: New.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Scientific Study from the year 2025 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: In recent times, developments in artificial intelligence (AI) and machine learning (ML) have propelled improvements in systems and control engineering. We exist in a time of extensive data, where AI and ML can evaluate large volumes of information instantly to enhance efficiency and precision in decisions based on data. In control engineering, for instance, AI algorithms can anticipate system behaviors and autonomously modify controls to enhance performance for better efficiency and dependability. ML models, with their ability to learn, consistently enhance their predictions and choices as they handle additional data, enabling systems to dynamically adjust to evolving environments and operational circumstances. This swift adjustment enhances the functions of current systems and enables the creation of groundbreaking solutions, like self-driving cars and intelligent power grids, which were previously deemed unfeasible.The rapid expansion of digital data has propelled significant advancements in Big Data analytics, Machine Learning, and Deep Learning. These technologies are increasingly integrated across industries, facilitating automated decision-making, predictive modeling, and advanced pattern recognition. This chapter provides an in-depth review of recent progress in these domains, emphasizing breakthroughs in scalable data processing frameworks, cloud and edge computing, AutoML, explainable AI, transformer architectures, self-supervised learning, and generative models. Furthermore, it explores key applications in healthcare, finance, and autonomous systems, along with challenges such as data privacy, ethical concerns, and computational constraints. The discussion concludes with future directions, highlighting the potential of federated learning, neuromorphic computing, and novel algorithmic improvements to further expand AI's impact across disciplines. …

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New.

Paperback. Condizione: New. This book reviews that narrate the development of current technologies under the theme of the emerging concept of healthcare, specifically in terms of what makes healthcare more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is machine learning, deep learning, big data, and Internet of Things (IoT)-the scientific field that gives machines the ability to learn without being strictly programmed. It has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data-intensive processes in healthcare operational environments.This book offers comprehensive coverage of the most essential topics, including:Introduction to e-monitoring for healthcareCase studies based on big data and healthcareIntelligent learning analytics in healthcare sectors using machine learning and IoTIdentifying diseases and diagnosis using machine learning and IoTDeep learning architecture and framework for healthcare using IoTKnowledge discovery from big data of healthcare-related processingBig data and IoT in healthcareRole of IoT in sustainable healthcareA heterogeneous IoT-based application for remote monitoring of physiological and environmental parameters.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Gebundene Ausgabe. Condizione: Neu. 3 comprehensive manuscripts in 1 book Machine Learning: An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More Neural Networks: An Essential Beginners Guide to Artificial Neural Networks and their Role in Machine Learning and Artificial Intelligence Deep Learning: An Essential Guide to Deep Learning for Beginners Who Want to Understand How Deep Neural Networks Work and Relate to Machine Learning and Artificial IntelligenceEvery day, someone is putting down a book on machine learning and giving up on learning about this revolutionary topic.How many of them miss out on furthering their career, and perhaps even the progress of our species.without even realizing?You see, most beginners make the same mistake when first delving into the topic of machine learning.They start off with a resource containing too many unrelatable facts, math, and programming lingo that will put them to sleep rather than ignite their passion.But that is about to change.This new book on machine learning will explain the concepts, methods and history behind machine learning, including how our computers became vastly more powerful but infinitely stupider than ever before and why every tech company and their grandmother want to keep track of us 24/7, siphoning data points from our electronic devices to be crunched by their programs that then become virtual crystal balls, predicting our thoughts before we even have them.Most of the book reads like science fiction because in a sense it is, far beyond what an average person would be willing to believe is happening.Here are some of the topics that are discussed in part 1 of this book: What is machine learning? What?s the point of machine learning? History of machine learning Neural networks Matching the human brain Artificial Intelligence AI in literature Talking, walking robots Self-driving cars Personal voice-activated assistants Data mining Social networks Big Data Shadow profiles Biometrics Self-replicating machines And much, much more!Here are some of the topics that are discussed in part 2 of this book: Programming a smart(er) computer Composition Giving neural networks legs to stand on The magnificent wetware Personal assistants Tracking users in the real world Self-driving neural networks Taking everyone?s job Quantum leap in computing Attacks on neural networks Neural network war Ghost in the machine No backlash And Much, Much MoreHere are some of the topics that are discussed in part 3 of this book: Improving the Scientific Method How It All Started Appeasing the Rebellious Spirits Quantum Approach To Science The Replication Crisis Evolving the Machine Brain The Future of Deep Learning Medicine with the Help of a Digital Genie And Much, Much MoreSo if you want to learn about machine learning, click "buy now"! Sprache: Englisch Gewicht in Gramm: 554.…