简介 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 learn...展开短评 打开App写短评 汪杨2017-05-12 17:52:40 机器学习的理论书籍是比较稀缺的 1...
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 ...
Shai Shalev-Shwartz The course follows the book: [Understanding Machine Learning: From Theory to Algorithms image ](http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/index.html) Motivation lecture,Lecture 1: Online learning, Linear predictors,python demonstration code. Videos (in Hebrew)...
最新版本电子版下载地址:https://udlbook.github.io/udlbook/ Chapter 1 Introduction Machine learning methods can coarsely be divided into three areas: supervised, unsupervised, and reinforcement learning. 1.1 Supervised learning Figure 1.1 Machine learning is an area of artificial intelligence that fits m...
《Understanding Deep Learning》这本书是 2023 年出的可以自由下载到的深度学习的神书啊。 先放下载地址: udlbook 最开始关注这本书,是因为我看过的书吧,感觉上都略有些旧了。 李沐的书尽管是网上的更新,但是…
1.7 How to read this book Reference Copyright 人工智能(Artificial Intelligence,AI)是与构建模拟智能行为相关的系统。它含有多种方法,包括基于逻辑、搜索和概率推理的方法。机器学习(Machine Learning,ML)是人工智能的一个子集,它通过将数理模型拟合到观察到的数据来学习做出决策。机器学习领域出现了爆发性的增长,并且...
Understanding Deep Learning - Simon J.D. Prince. Contribute to emrahub/udlbook--machine-learning development by creating an account on GitHub.
● 英文原版:《Understanding Deep Learning》 目录 前言 - Preface 致谢 - Acknowledgements 1 引言 - Introduction 1.1 监督学习 - Supervised learning 1.2 无监督学习 - Unsupervised learning 1.3 强化学习 - Reinforcement learning 1.4 伦理 - Ethics 1.5 本书结构 - Structure of book 1.6 其他书籍 - Other...
Book Google Scholar Xu, Z., Liu, J., Luo, X., Zhang, T.: Cross-version defect prediction via hybrid active learning with kernel principal component analysis. In: International Conference on Software Analysis, Evolution and Reengineering (SANER), pp. 209–220 (2018) Xuan, X., Lo, D.,...
At Facebook, machine learning provides a wide range of capabilities that drive many aspects of user experience including ranking posts, content understanding, object detection and tracking for augmented and virtual reality, speech and text translations. While machine learning models are currently trained...