{"product_id":"9789819223008","title":"Machine Learning Methods","description":"\u003ch1\u003eMachine Learning Methods\u003c\/h1\u003e \u003ch2\u003eLi, Hang; Lin, Lu; Zeng, Huanqiang\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn an era where artificial intelligence (AI) is transforming every industry, mastering a core set of machine learning methods is essential for both understanding and applying modern AI technologies. Machine Learning Method (Second Edition) stands out as a rigorously structured, method-oriented guide that systematically presents the most foundational and widely used techniques across four key branches: supervised learning, unsupervised learning, deep learning, and reinforcement learning.\u003c\/p\u003e\n\u003cp\u003eThis open access book is featured with its clear organization around algorithmic methods—such as GBDT, EM algorithm, Transformer, 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, the book offers deep insights into over 80 essential techniques. Each volume provides a focused overview, followed by chapters that explicate one or two key methods, making the content accessible for comprehensive study or targeted reference.\u003c\/p\u003e\n\u003cp\u003eDesigned for advanced undergraduate and graduate students, educators, and AI professionals, this book serves both as a textbook and a long-term reference. It assumes foundational knowledge in calculus, linear algebra, probability, and computer science, and rewards readers with a structured understanding of machine learning that is both theoretical and application-ready. Whether you're curious about why Transformers revolutionized NLP, or how PPO optimizes decision-making in reinforcement learning, this book will not only inform but also inspire further exploration.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-10-21\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9789819223008\u003c\/p\u003e \u003cp\u003eDOI: \u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: \u003c\/p\u003e ","brand":"Tsinghua University Press","offers":[{"title":"Default Title","offer_id":50185182019724,"sku":"9789819223008","price":0.0,"currency_code":"USD","in_stock":false}],"url":"https:\/\/lateknightbooks.com\/products\/9789819223008","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}