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Linear Algebra for Machine Learning
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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The Prompt Engineer's Handbook
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Linear Algebra for Machine Learning: Foundations and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Linear Algebra for Machine Learning: Foundations and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Calculus For Machine Learning: Foundations and Applications
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AI's Decision-Making Engine Reinforcement Learning Explained
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Mastering Azure Machine Learning: From Fundamental to Deployment
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Linear Algebra for Machine Learning: Foundations and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Calculus For Machine Learning: Foundations and Applications
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Mastering Azure Machine Learning: From Fundamental to Deployment
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The Prompt Engineer's Handbook: Mastering AI Conversations: A Comprehensive Guide to Crafting Effective AI Prompts
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Calculus For Machine Learning: Foundations and Applications
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The Prompt Engineer's Handbook: Mastering AI Conversations: A Comprehensive Guide to Crafting Effective AI Prompts
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Mastering Azure Machine Learning: From Fundamental to Deployment
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Paperback. Condition: new. Paperback. Machine learning is revolutionizing industries by enabling computers to learn from data and make intelligent decisions. At the heart of machine learning lies linear algebra - a fundamental mathematical framework that powers algorithms, optimizations, and data transformations. This book, Linear Algebra for Machine Learning: Foundations and Applications, aims to bridge the gap between theoretical concepts and practical applications by providing an intuitive understanding of linear algebra's role in machine learning models.This book is structured to cater to both beginners and experienced practitioners. It starts with foundational concepts of linear algebra, including vectors, matrices, and eigenvalues, before progressing to their applications in machine learning. Each includes theoretical explanations accompanied by hands-on coding demonstrations to reinforce learning through practical implementation.By the end of this book, readers will gain a solid grasp of how linear algebra is employed in machine learning algorithms such as Support Vector Machines, Neural Networks, and Principal Component Analysis. The combination of mathematical insights and code demonstrations will equip readers with the skills necessary to develop, optimize, and interpret machine learning models effectively.Whether you are a student, researcher, or professional, this book serves as a comprehensive guide to understanding and applying linear algebra in the field of machine learning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Paperback. Condition: new. Paperback. This book is designed to bridge the gap between the mathematical foundations of calculus and their practical applications in the rapidly evolving field of machine learning (ML). Whether you are a student, a researcher, or a practitioner, this book aims to provide you with a comprehensive understanding of how calculus underpins many of the algorithms and techniques that drive modern ML.The Intersection of Calculus and Machine LearningMachine learning has transformed the way we approach data, enabling us to build models that can learn from and make predictions on complex datasets. At the heart of many ML algorithms lies calculus, the branch of mathematics that deals with rates of change and accumulation. From optimizing loss functions to training neural networks, calculus provides the tools necessary to understand and improve these models.This book is structured to take you on a journey from the fundamental concepts of calculus to their advanced applications in ML. We begin with a review of essential calculus topics, ensuring that readers have a solid foundation. We then delve into more specialized areas, such as gradient descent, backpropagation, and optimization techniques, illustrating how these concepts are applied in real-world ML problems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Linear Algebra for Machine Learning
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
