Ai and Machine Learning for Developers: A Hands-On Guide for Modern Programmers
Format:
Kindle
Fuera de stock
0.15 kg
Sí
Nuevo
Amazon
USA
- AI and Machine Learning for Developers: A Hands-On Guide for Modern ProgrammersArtificial Intelligence (AI) and Machine Learning (ML) are no longer futuristic ideas—they are transforming every industry today, from finance and healthcare to transportation and entertainment. AI and Machine Learning for Developers: A Hands-On Guide for Modern Programmers is your complete, practical guide to mastering the tools, techniques, and thinking required to build intelligent systems that make data-driven decisions and learn from experience.This book is designed for developers who want to move beyond theory and into practice. Through clear explanations, real-world projects, and step-by-step coding examples, you will learn how to prepare data, train models, and deploy AI-powered solutions confidently. Each chapter builds your understanding progressively, combining foundational knowledge with hands-on exercises that strengthen your technical skills.You will start by learning the fundamentals—understanding what AI and machine learning truly are, how they differ, and why they matter. From there, you’ll explore the essential building blocks of data preparation, classical algorithms, and deep learning models. The book also covers specialized domains such as natural language processing (NLP), computer vision, reinforcement learning, and generative AI, ensuring that you gain both breadth and depth in your learning.Beyond model building, this book guides you through the entire machine learning lifecycle—from data collection and feature engineering to deployment, monitoring, and optimization. You’ll also explore best practices in model explainability, ethical AI, and responsible deployment—key considerations for modern AI developers.Every concept is explained in plain language, making it easy to grasp even complex ideas, while real-world examples connect the theory to practice. With complete projects like building sentiment analysis tools, image classifiers, recommendation systems, and end-to-end AI-powered applications, you’ll develop skills that are directly applicable to real development environments.Whether you’re a Python programmer exploring AI for the first time or an experienced developer looking to expand into machine learning and deep learning, this book gives you a structured, practical roadmap to success.What You’ll Learn:The core principles of AI, machine learning, and deep learningHow to preprocess, clean, and transform data for trainingImplementation of classical ML algorithms and neural networksHow to build models for NLP, image recognition, and predictive analyticsTechniques for tuning, optimizing, and deploying models in productionReal-world projects using TensorFlow, PyTorch, Scikit-Learn, and FastAPIHow to ensure fairness, interpretability, and ethical AI practicesThis is not just a textbook—it’s a workshop in your hands. Every chapter equips you with actionable skills that you can apply immediately to your projects and professional work.If you’ve been waiting for the right time to master AI and machine learning, that time is now. The industry is evolving fast, and skilled developers who can build intelligent, adaptive systems are in greater demand than ever.Start building the future today. Pick up your copy of AI and Machine Learning for Developers and take the next step toward becoming an AI-powered developer ready to create solutions that shape tomorrow.
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