gilbert gutierrez (133 risultati)

Tapa Blanda. Condizione: Buen estado. Gutiérrez, Luci (illustratore).

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Paperback. Condizione: new. Paperback. Python for AI: A Beginner's Guide to Coding Intelligence is a step-by-step, beginner-friendly guide that teaches you the fundamentals of Python programming while introducing essential AI concepts. This book is designed for absolute beginners, making it the perfect resource for students, professionals, and AI enthusiasts who want to dive into machine learning and artificial intelligence without prior coding experience. Why This Book?Beginner-Friendly Approach: No prior programming knowledge required-this book starts with the basics and gradually introduces AI concepts.Hands-On Learning: Step-by-step tutorials and real-world AI projects help you build practical skills.Essential Python Knowledge: Master Python fundamentals and explore powerful libraries like NumPy, Pandas, and Scikit-Learn.Machine Learning Made Simple: Learn how AI models work and create your first machine learning models using Python.Real-World AI Applications: Work on projects like chatbots, image recognition, and AI-driven predictions.Future-Proof Your Skills: Gain knowledge in AI and machine learning-one of the most in-demand skills in tech today.What You Will Learn in This Book This book is structured into four main sections, each designed to build your AI expertise step by step. Part 1: Python Foundations for AI Before diving into AI, you'll learn Python from scratch. This section covers: What AI is and why Python is the top choice for AI development.Python basics: variables, data types, loops, functions, and more.Data structures and libraries essential for AI programming.Part 2: Essential AI Tools in Python After mastering Python, you'll explore the tools that power AI, including: How to collect, clean, and preprocess data for AI models.Introduction to machine learning and key algorithms.Hands-on projects using Scikit-Learn, TensorFlow, and PyTorch.Part 3: Hands-on AI Projects Theory meets practice as you build real AI applications: A chatbot using Natural Language Processing (NLP).An image recognition model with AI-powered object detection.Predictive analytics for forecasting trends with machine learning.Part 4: Next Steps in AI Mastery Looking ahead, this section explores: AI ethics and responsible AI development.Advanced topics like deep learning and reinforcement learning.The roadmap to mastering AI and launching your AI career.Who Should Read This Book?Absolute Beginners - If you've never written a line of code before, this book provides a simple and structured introduction to Python and AI.Aspiring Data Scientists & AI Enthusiasts - If you're eager to explore AI concepts, machine learning, and neural networks, this book is a great starting point.Students & Professionals - If you're studying AI or working in tech and want to enhance your skills, this book will help you grasp the fundamentals quickly.What Makes This Book Unique?Step-by-Step Learning: Each chapter is structured to gradually build your AI knowledge.Hands-On Projects: Work on real-world AI applications to solidify your skills.Simple and Clear Explanations: Complex AI concepts are broken down into easy-to-understand steps.Practical Examples & Exercises: Learn by doing, with coding exercises and challenges at the end of each chapter.AI Career Roadmap: Get guidance on the next steps in your AI journey, from further learning to landing a job in AI.<b Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New.

Condizione: New.

Paperback. Condizione: new. Paperback. Machine learning is revolutionizing industries, but understanding theory alone isn't enough-you need hands-on experience to excel in the real world. Real-World ML Projects: Hands-on Learning is the ultimate guide to mastering machine learning through practical, end-to-end projects designed to solve real business problems. This book, the sixth installment in the "AI from Scratch: Step-by-Step Guide to Mastering Artificial Intelligence" series, provides a structured, project-based approach to learning ML. Instead of just reading about algorithms, you'll work on industry-grade machine learning projects, covering everything from data collection and model training to deployment and scaling. What You'll Learn: Data Preparation & Feature Engineering - Learn how to clean, preprocess, and engineer features from real-world datasets.Supervised & Unsupervised Learning - Implement regression, classification, clustering, and anomaly detection models.Deep Learning & NLP - Train CNNs for image recognition and build transformer-based NLP models.MLOps & Model Deployment - Use Flask, Docker, Kubernetes, and cloud platforms to deploy scalable ML models.10 Real-World Projects - Solve industry-specific problems in finance, healthcare, retail, NLP, and Edge AI.Hands-On Machine Learning Projects Include: Predicting House Prices - Train regression models and deploy a web-based prediction tool.Customer Churn Prediction - Analyze customer behavior and build a churn detection model.Sentiment Analysis on Social Media - Implement NLP techniques to classify positive and negative sentiments.Fraud Detection in Financial Transactions - Use anomaly detection to identify fraudulent activities.Demand Forecasting for Retail - Build time-series forecasting models to optimize inventory.Image Classification with CNNs - Train a deep learning model to classify images with high accuracy.Recommender System for E-Commerce - Implement collaborative and content-based filtering.Chatbot with NLP - Build and deploy a conversational AI chatbot.Autonomous Vehicle Simulation - Train reinforcement learning models for self-driving cars.Edge AI with TinyML - Deploy ML models on microcontrollers like Raspberry Pi and Arduino.Why This Book?Hands-On Approach - Learn by doing with step-by-step guidance and real datasets.Industry-Relevant Skills - Gain experience with tools like TensorFlow, PyTorch, Scikit-Learn, and more.Deployment Focus - Move beyond theory and learn to operationalize ML models.Cutting-Edge Topics - Explore AutoML, Large Language Models (LLMs), and Generative AI.Practical Code Examples - Get fully functional Python code for all projects.Who Should Read This Book?Aspiring Data Scientists & ML Engineers - Build a portfolio with real-world projects.Software Developers - Learn to integrate machine learning into applications.Business Analysts & AI Enthusiasts - Apply ML to solve practical problems.Students & Researchers - Get hands-on experience with industry-standard ML techniques.Turn Your Knowledge into Action! By the end of this book, you'll have built a portfolio of real-world ML projects, mastered the ML workflow, and gained the confidence to deploy models in production. If you're ready to bridge the gap between theory and practice, this book is your roadmap to becoming an industry-ready machine learning expert. Start building real-world machin Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: New.

Condizione: New. Idioma/Language: Español. 3 January 2026. The United States army launches a large-scale attack on Venezuela, bombing several strategic buildings, killing nearly a hundred Venezuelan civilians and military personnel, and kidnapping President Nicolás Maduro and his wife Cilia Flores, whom they transfer to a prison in New York. The assault, beyond confirming the worst threats of the previous months, opens a breach in the world order and leads to an uncertain scenario in Venezuela. President Trump makes no secret of his colonising intentions and his desire to control the countrys strategic resources, and the offensive opens up a new form of overt imperialism. This book responds to an urgent need to analyse and contextualise the events, since, although the most serious to date, the attack is nothing more than a new chapter in the ongoing aggression against Venezuela since the time of Hugo Chávez. With the collaboration of several authoritative voices on the subject, the book addresses the situation from fields such as communication, geopolitics and international law, in search of answers to an increasingly complex world. Authors: Laura Arroyo, María Fernanda Barreto, Eneko Compains, Fernando Casado, Chris Gilbert, Ximena González, Arantxa Tirado and Luismi Uharte. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.

Paperback. Condizione: New.

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