Understanding Machine Learning 2024 pdf epub mobi 電子書下載

☆☆☆☆☆
簡體網頁||繁體網頁

Understanding Machine Learning pdf epub mobi 著者簡介

Understanding Machine Learning pdf epub mobi 圖書描述

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.

Understanding Machine Learning 2024 pdf epub mobi 電子書下載

Understanding Machine Learning pdf epub mobi 圖書目錄

下載链接在页面底部

點擊這裡下載

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 複製鏈接

想要找書就要到本本書屋

onlinetoolsland.com

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

發表於2024-11-04

Understanding Machine Learning 2024 pdf epub mobi 電子書下載

喜欢 Understanding Machine Learning 電子書的读者还喜欢

Understanding Machine Learning pdf epub mobi 讀後感

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☆☆☆☆☆

類似圖書點擊查看全場最低價

出版者:Cambridge University Press

作者:Shai Shalev-Shwartz

出品人:

頁數:424

譯者:

出版時間:2014

價格:USD 48.51

裝幀:Hardcover

isbn號碼:9781107057135

叢書系列: