This open access textbook provides a rigorously structured, method-oriented guide to mastering core machine learning methods essential for understanding and applying modern artificial intelligence (AI) technologies. In an era where AI is transforming every industry, Machine Learning Methods (Second Edition) systematically presents the most foundational and widely used techniques across four key branches: supervised learning, unsupervised learning, deep learning, and reinforcement learning. The book is clearly organized ...
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This open access textbook provides a rigorously structured, method-oriented guide to mastering core machine learning methods essential for understanding and applying modern artificial intelligence (AI) technologies. In an era where AI is transforming every industry, Machine Learning Methods (Second Edition) systematically presents the most foundational and widely used techniques across four key branches: supervised learning, unsupervised learning, deep learning, and reinforcement learning. The book is clearly organized around algorithmic methods-such as GBDT, the EM algorithm, Transformer models, diffusion models, and PPO-that have remained central to machine learning despite rapid advancements in the field. Through concise mathematical formulations, intuitive explanations, and practical examples, it offers deep insights into over 40 essential techniques. Each volume provides a focused overview, followed by chapters that explain one or two key methods, making the content accessible for both comprehensive study and targeted reference. Designed for advanced undergraduate and graduate students, educators, and AI professionals, this textbook serves both as a learning resource and a long-term reference. It assumes foundational knowledge in calculus, linear algebra, probability, and computer science, and supports readers in developing a structured understanding of machine learning that is both theoretical and application-oriented. Whether exploring why Transformers have revolutionized natural language processing or how PPO optimizes decision-making in reinforcement learning, this book is intended to both inform and inspire further exploration.
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Add this copy of Machine Learning Methods to cart. $65.35, new condition, Sold by Educational Media Centre rated 4.0 out of 5 stars, ships from New Delhi, DELHI, INDIA, published 2024 by Springer Verlag, Singapore.
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Add this copy of Machine Learning Methods to cart. $88.34, new condition, Sold by Educational Media Centre rated 4.0 out of 5 stars, ships from New Delhi, DELHI, INDIA, published 2023 by Springer Verlag, Singapore.
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Fine. Contains: Illustrations, black & white, Illustrations, color. XV, 532 p. 109 illus., 5 illus. in color. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Machine Learning Methods to cart. $96.27, new condition, Sold by GreatBookPricesUK5 rated 5.0 out of 5 stars, ships from Castle Donington, DERBYSHIRE, UNITED KINGDOM, published 2023 by Springer Verlag, Singapore.
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New. Contains: Illustrations, black & white, Illustrations, color. XV, 532 p. 109 illus., 5 illus. in color. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
