{"id":1029,"date":"2019-08-19T11:38:10","date_gmt":"2019-08-19T13:38:10","guid":{"rendered":"http:\/\/web.vu.lt\/mif\/a.buteikis\/?p=1029"},"modified":"2020-12-27T07:11:40","modified_gmt":"2020-12-27T09:11:40","slug":"books-on-various-machine-learning-topics","status":"publish","type":"post","link":"http:\/\/web.vu.lt\/mif\/a.buteikis\/2019\/08\/19\/books-on-various-machine-learning-topics\/","title":{"rendered":"Books on Various Machine Learning Topics"},"content":{"rendered":"

Some interesting and freely available books, which can be found at their respective authors websites:<\/p>\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
<\/td>Title<\/th>Language<\/th>Link<\/th>\n<\/tr>\n<\/thead>\n
1<\/td>An Introduction to Statistical Learning with Applications in R (2nd Ed.)<\/td>English<\/td>Link<\/a> (Homepage<\/a>)<\/td>\n<\/tr>\n
2<\/td>The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd Ed.)<\/td>English<\/td>Link<\/a> (Homepage<\/a>)<\/td>\n<\/tr>\n
3<\/td>Mathematics for Machine Learning<\/td>English<\/td>Link<\/a> (Homepage<\/a>)
\n<\/td>\n<\/tr>\n
4<\/td>Foundations of Machine Learning (2nd Ed.)<\/td>English<\/td>Link<\/a> (Homepage<\/a>)<\/td>\n<\/tr>\n
5<\/td>Pattern Recognition and Machine Learning<\/td>English<\/td>Link<\/a> (Homepage<\/a>)<\/td>\n<\/tr>\n
6<\/td>Reinforcement Learning: An Introduction<\/td>English<\/td>Link<\/a> (Homepage<\/a>)<\/td>\n<\/tr>\n
7<\/td>Deep Learning<\/td>English<\/td>Homepage<\/a><\/td>\n<\/tr>\n
8<\/td>Dive into Deep Learning<\/td>English<\/td>Homepage<\/a>
\n(New version<\/a>)<\/td>\n<\/tr>\n
<\/td>A high-bias, low-variance introduction to Machine Learning for physicists<\/td>English<\/td>arXiv.org<\/a> <\/td>\n<\/tr>\n
<\/td>Speech and Language Processing<\/td>English<\/td>Link<\/a><\/td>\n<\/tr>\n
<\/td><\/td><\/td><\/td>\n<\/tr>\n
<\/td><\/td><\/td><\/td>\n<\/tr>\n
<\/td>Understanding Machine Learning: From Theory to Algorithms<\/td>English<\/td>Homepage<\/a><\/td>\n<\/tr>\n
<\/td>Bayesian Reasoning and Machine Learning<\/td>English<\/td>Homepage<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n

 <\/p>\n

Some additional interesting reading<\/p>\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
<\/td>Title<\/th>Link<\/th>\n<\/tr>\n<\/thead>\n
<\/td>\"Apparently, Calculus Was Invented In 1994\"<\/td>[1]<\/a>, [2]<\/a><\/td>\n<\/tr>\n
<\/td>\"Oh No! I Got the Wrong Sign! What Should I Do?\"<\/td>[2002]<\/a>, [2005]<\/a><\/td>\n<\/tr>\n
<\/td>\"I Just Ran Two Million Regressions\"<\/td>Link<\/a><\/td>\n<\/tr>\n
<\/td>\"Biased versus unbiased estimation\"<\/td>Link<\/a><\/td>\n<\/tr>\n
<\/td>\"The significance of significance\"<\/td>Link<\/a>, [1]<\/a>, [2]<\/a><\/td>\n<\/tr>\n
<\/td>\"On the Significance of Significance: Addressing a Basic Problem in Research\"<\/td>Link (needs university VPN)<\/a><\/td>\n<\/tr>\n
<\/td>\"Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations\"<\/td>Link<\/a><\/td>\n<\/tr>\n
<\/td>Machine Learning: An Applied Econometric Approach<\/td>Link<\/a><\/td>\n<\/tr>\n
<\/td>\"The Gaussian Copula and the Financial Crisis\" and possible problems in the future<\/td>[1]<\/a>, [2]<\/a>, [3]<\/a> + [4]<\/a>
\n<\/td>\n<\/tr>\n
<\/td><\/td><\/td>\n<\/tr>\n
<\/td><\/td><\/td>\n<\/tr>\n
<\/td>Buggy Software<\/td>[1]<\/a>, [2]<\/a>
\n<\/td>\n<\/tr>\n
<\/td>R Development NEWS:<\/td>Link<\/a><\/td>\n<\/tr>\n
<\/td>Python Release Schedules:<\/td>[3.10]<\/a> + [Index of Python Enhancement Proposals]<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n

 <\/p>\n

Some programming language libraries<\/h2>\n

Python: handcalcs (render Python calculation code automatically in LaTeX)<\/a><\/p>\n

C\/C++ :<\/p>\n