best machine learning books 2017

650) this.width=650; "Src=" https://s4.51cto.com/wyfs02/M01/9C/42/wKiom1luAC6iJEzZAAI1boYZYD0637.jpg-wh_500x0-wm_ 3-wmp_4-s_1003339291.jpg a copy of the "title=" img_6837. JPG "alt=" Wkiom1luac6ijezzaai1boyzyd0637.jpg-wh_50 "/>(for Martin Wainwright , professor at the University of California, Berkeley, USA )Martin Wainwright is an internationally renowned expert in statistics and computational science, and is a professor at the University of California, Berkeley, where he teaches in the Depar

Source: paperweekly This article a total of 900 characters, recommended to read 6 minutes.This article lists the top ten interesting machine learning open source projects for you recently GitHub.-01- Face recognition #世界上最简单的人脸识别库 This project is known as the simplest face recognition library in the world and can be invoked using Python and the command line. The library is built using the Dlib-top depth

Long time no See, Hulu machine learning questions and Answers series and updated again!You can click "Machine Learning" in the menu bar to review all the previous installments of this series and leave a message to express your thoughts and ideas, and perhaps see your testimonials in the next article.Today's theme is"Di

python is an object-oriented, interpretive computer programming language with a rich and powerful library, coupled with its simplicity, ease of learning, speed, open source free, portability, extensibility, and object-oriented features,python Become the most popular programming language of the 2017!AI is one of the most popular topics, machine

there is no sample code available. It is also unfortunate that machine learning lacks a framework or gem based on Ruby. Discover Python and NLTK I continued to search the solution and encountered "Python" in the result set. As a Ruby developer, although I haven't learned the language yet, I know that Python is a text-based, understandable, and dynamic programming language for similar objects. Although th

crawler Introduction, do not have to read too many books, online resources a lot of, of course, my csdn web crawler column , or quite popular:Tutorial Address: Click to viewBook Resources recommended:1. Want to learn the network crawler system, see "Python data collection " is a good choice (password: 2a69):Click to downloadMachine learning:Network Video recommendation: Wunda Teacher's machine

About this article, my original blog address is located in http://blog.csdn.net/qq_37608890, this article from the author on December 06, 2017 18:06:30 written content (http://blog.csdn.net /qq_37608890/article/details/78731169). This article based on the recent Learning machine learning

Tags: analysis data set positioning res tells many predictions Rand buildFrom a macro perspective, machine learning can be categorized from different angles. Whether to train under human intervention/supervision. (Supervised,unsupervised,semisupervised and reinforcement learning) Is it possible to learn incrementally (online

"Pattern Recognition and machine learning" ResourcesBishop's "Pattern Recognition and machine learning" is the classic textbook in this field, this article has collected the relevant tutorials and reading notes for comparative learning, the main search resources include CSDN

https://zhuanlan.zhihu.com/p/25185856 "Kaggle Instance Analysis" Titanic machine learning from disasterhttp://blog.csdn.net/wiking__acm/article/details/42742961 Titanic:machine Learning from disaster (Kaggle Data Mining contest)http://blog.csdn.net/han_xiaoyang/article/details/49797143 must-readHttps://github.com/yew1eb/DM-Competition-Getting-Started/tree/master/

Scikit-learn.org an open source machine learning Python Tool Http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html Theano-phthon Deep Learning Algorithm Library Python scientific computing Library Http://sebug.net/paper/books/scipydoc/index.html Machine

take some means to make the data points into linear classification in another dimension, which is not necessarily visual display of the dimension. This method is the kernel function.Using the ' Machine Learning Algorithm (2)-Support vector Machine (SVM) basis ' mentioned: There are no two identical objects in the world, and for all two objects, we can make a dif

Finally the end of the final, look at others summary: http://blog.sina.com.cn/s/blog_641289eb0101dynu.htmlContact Machine Learning also has a few years, but still only a rookie, when the first contact English is not good, do not understand the class, what things are smattering. After learning some open classes and books