Understanding Machine Learning pdf epub mobi txt 电子书下载 2024

☆☆☆☆☆
简体网页||繁体网页

Shai Shalev-Shwartz

Cambridge University Press

2014

424

USD 48.51

Hardcover

9781107057135

图书标签: 机器学习 MachineLearning 人工智能算法理论计算机科学 ML 计算机

喜欢 Understanding Machine Learning 的读者还喜欢

下载链接在页面底部

点击这里下载

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 复制链接

想要找书就要到小哈图书下载中心

qciss.net

立刻按 ctrl+D收藏本页

你会得到大惊喜!!

发表于2024-05-16

Understanding Machine Learning epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Understanding Machine Learning pdf epub mobi txt 电子书下载 2024

图书描述

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 下载 mobi epub pdf txt 电子书

著者简介

图书目录

Understanding Machine Learning pdf epub mobi txt 电子书下载

想要找书就要到小哈图书下载中心

qciss.net

立刻按 ctrl+D收藏本页

你会得到大惊喜!!

用户评价

评分☆☆☆☆☆

非常好的机器学习理论的书，但是为什么就是感觉看不懂呢？

评分☆☆☆☆☆

为什么评分这么高我却一个字都看不懂

评分☆☆☆☆☆

非常好的机器学习理论的书，但是为什么就是感觉看不懂呢？

评分☆☆☆☆☆

作为理论书籍，内容编排和逻辑顺序感觉不如foundation of machinelearning一书。有点失望。

评分☆☆☆☆☆

为什么评分这么高我却一个字都看不懂

读后感

评分☆☆☆☆☆

市面上关于machine learning (ML)的书很多，但是个人认为用一本书将ML的方方面面全部讲清楚是不可能的。粗略的来讲，ML的书籍可以分为算法(algorithm)和理论(theorem)两大类。前一类中，个人认为最近十年比较经典的教材包括Bishop的Pattern Recognition and Machine Learning，...

评分☆☆☆☆☆

这本书第一部分详细地介绍了 PAC学习理论（计算学习理论和统计学习理论）。与Foundations of Machine Learning 不同之处在于，其在第四章抽出了 Uniform Convergence（依概率一致收敛）这一特性，这使得对 Agnostic PAC learning 下的泛化界的导出更加清晰。Uniform Converge...

评分☆☆☆☆☆

类似图书点击查看全场最低价

Understanding Machine Learning pdf epub mobi txt 电子书下载 2024