Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering.
發表於2024-11-22
Understanding Machine Learning 2024 pdf epub mobi 電子書 下載
這本書第一部分詳細地介紹瞭 PAC學習理論(計算學習理論和統計學習理論)。與Foundations of Machine Learning 不同之處在於,其在第四章 抽齣瞭 Uniform Convergence(依概率一緻收斂) 這一特性,這使得對 Agnostic PAC learning 下的泛化界的導齣更加清晰。Uniform Converge...
評分這本書第一部分詳細地介紹瞭 PAC學習理論(計算學習理論和統計學習理論)。與Foundations of Machine Learning 不同之處在於,其在第四章 抽齣瞭 Uniform Convergence(依概率一緻收斂) 這一特性,這使得對 Agnostic PAC learning 下的泛化界的導齣更加清晰。Uniform Converge...
評分市麵上關於machine learning (ML)的書很多,但是個人認為用一本書將ML的方方麵麵全部講清楚是不可能的。粗略的來講,ML的書籍可以分為算法(algorithm)和理論(theorem)兩大類。前一類中,個人認為最近十年比較經典的教材包括Bishop的Pattern Recognition and Machine Learning,...
評分市麵上關於machine learning (ML)的書很多,但是個人認為用一本書將ML的方方麵麵全部講清楚是不可能的。粗略的來講,ML的書籍可以分為算法(algorithm)和理論(theorem)兩大類。前一類中,個人認為最近十年比較經典的教材包括Bishop的Pattern Recognition and Machine Learning,...
評分市麵上關於machine learning (ML)的書很多,但是個人認為用一本書將ML的方方麵麵全部講清楚是不可能的。粗略的來講,ML的書籍可以分為算法(algorithm)和理論(theorem)兩大類。前一類中,個人認為最近十年比較經典的教材包括Bishop的Pattern Recognition and Machine Learning,...
圖書標籤: 機器學習 MachineLearning 人工智能 算法 理論 計算機科學 ML 計算機
討論班用書,偏理論證明,看的頭疼
評分作為理論書籍,內容編排和邏輯順序感覺不如foundation of machinelearning一書。有點失望。
評分上課用書,有免費的pdf版本,online learning的神書,作者就是搞這個的... 雖然我更喜歡鳥國人寫的教材=。=
評分教材用書
評分非常好的機器學習理論的書,但是為什麼就是感覺看不懂呢?
Understanding Machine Learning 2024 pdf epub mobi 電子書 下載