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

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Taschenbuch. Zustand: Neu. Neuware - Artificial Intelligence is transforming the world faster than ever before, and the demand for skilled AI engineers continues to grow across every industry. Whether you are a beginner exploring artificial intelligence for the first time or a developer looking to expand your technical skills, AI Engineering Handbook provides a practical and easy to understand roadmap for mastering modern AI development.This comprehensive guide introduces the core foundations of AI engineering while helping readers build real world skills in machine learning, deep learning, generative AI, neural networks, prompt engineering, Python programming, and AI automation.Inside this book, you will learn how artificial intelligence systems work, how machine learning models are trained, and how AI engineers design intelligent applications used in today's technology driven world. From understanding data and algorithms to building AI powered applications, this handbook breaks down complex concepts into clear, practical lessons that are accessible for beginners and valuable for aspiring professionals.You will also explore the latest advancements in generative AI, large language models, AI assistants, and intelligent automation tools that are reshaping businesses and careers globally. With practical explanations and real world examples, this book equips you with the knowledge needed to confidently begin your journey in AI engineering.Inside This Book, You Will Discover: - Artificial Intelligence fundamentals explained in simple terms- Machine Learning and Deep Learning essentials- Python programming for AI development- Neural Networks and Generative AI concepts- Prompt Engineering and AI automation workflows- Real world AI applications and deployment basics- AI ethics, security, and responsible AI practices- Career guidance for future AI engineersBeginner friendly explanations with practical insightsWhether your goal is to become an AI engineer, machine learning developer, data scientist, software engineer, or technology entrepreneur, this book gives you the foundational knowledge and practical understanding needed to succeed in one of the world's fastest growing industries.If you are ready to explore the future of artificial intelligence, build valuable technical skills, and understand the technologies shaping tomorrow's digital world, then AI Engineering Handbook is the perfect place to begin.Start your AI journey today and discover how to build intelligent systems that can transform ideas into innovation.…

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Taschenbuch. Zustand: Neu. Neuware - Modeling Intelligence Systems: Build a Strong Mathematical Foundation for Artificial Intelligence, Machine Learning, Deep Learning, and Modern AI Applications Have you ever wondered what truly powers ChatGPT, autonomous vehicles, recommendation systems, facial recognition, or modern AI assistants Behind every intelligent system lies mathematics. If you've tried learning AI before and felt overwhelmed by complex equations or disconnected theory, you're not alone. The good news is that understanding the mathematics behind AI doesn't have to be intimidating-it simply requires the right guide. Modeling Intelligence Systems is a practical, beginner-friendly guide that explains the mathematical principles behind Artificial Intelligence, Machine Learning, and Deep Learning using clear language, intuitive explanations, and real-world examples. Rather than asking you to memorize formulas, this book helps you understand why they matter and how they are used to build intelligent systems. Whether you're a student, software developer, data scientist, AI enthusiast, or working professional, you'll develop the confidence to understand modern AI from the ground up. Inside this book, you'll learn the essential mathematics that powers today's AI systems, including linear algebra, calculus, probability, statistics, optimization, feature engineering, neural networks, deep learning, transformers, large language models, computer vision, reinforcement learning, recommendation systems, AI agents, model deployment, responsible AI, and the future of intelligent systems. Each topic is explained with practical examples, mathematical intuition, working code samples where appropriate, and exercises that reinforce your understanding. By the time you finish this book, you'll be able to read AI literature with greater confidence, understand how modern algorithms learn from data, make better technical decisions, and build a strong foundation for advanced topics in machine learning and artificial intelligence. Instead of relying solely on libraries and frameworks, you'll understand the mathematical ideas that make them work. Artificial intelligence is transforming software development, healthcare, finance, cybersecurity, education, manufacturing, robotics, and countless other industries. The professionals who understand both the theory and the practical application of AI will be best positioned to take advantage of these opportunities. Building that foundation today will prepare you for the technologies shaping tomorrow. If you're ready to move beyond using AI tools and start understanding the mathematics that powers them, scroll up and click 'Buy Now' to begin building a solid foundation in artificial intelligence today.…

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hardcover. Zustand: Very Good. Cover and edges may have some wear.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.

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Paperback. Zustand: Brand New. 122 pages. 9.25x7.51x0.26 inches. In Stock.