Machine Learning Refined: Foundations, Algorithms, and Applications (Hardcover)

Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos

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商品描述

Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization.  Additional resources including supplemental discussion topics, code demonstrations, and exercises can be found on the official textbook website at mlrefined.com

商品描述(中文翻譯)

提供一種獨特的機器學習方法,本書包含了新穎且直觀但嚴謹的描述,涵蓋了進行研究、建立產品、嘗試和遊玩所需的所有基本概念。通過優先考慮幾何直覺、算法思維和實際應用,包括計算機視覺、自然語言處理、經濟學、神經科學、推薦系統、物理學和生物學等學科,本書為讀者提供了對基礎材料的清晰理解以及解決實際問題所需的實用工具。本書深入介紹了基於Python和MATLAB/OCTAVE的計算練習,並完整介紹了尖端的數值優化技術,是學生的必備資源,也是從事機器學習、計算機科學、電氣工程、信號處理和數值優化的研究人員和從業人員的理想參考資料。其他資源,包括補充討論主題、代碼演示和練習,可在官方教科書網站mlrefined.com上找到。