![[PukiWiki]](image/ibisforest.png "[PukiWiki]")
#author("2021-03-06T18:17:16+00:00","default:ibisforest","ibisforest") #author("2023-03-28T09:40:16+00:00","default:ibisforest","ibisforest") *書籍・資料 [#bf0e7c1a] #norelated 機械学習や統計関係の書籍をみなさんに紹介しましょう． -機械学習全般の教科書については [[機械学習#TextBook]] も参考にして下さい． -論文の紹介は「[[論文>Paper]]」 にあります． -機械学習・[[統計]]・データマイニングの書籍・論文の英語表現は「[[English]]」にあります． - Christopher M. Bishop著“Pattern Recognition and Machine Learning”の日本語版~ [[「パターン認識と機械学習 - ベイズ理論による統計的予測」サポートページ>PRML]] - [[赤穂 昭太郎著 「カーネル多変量解析」のサポートページ>K-NEL]] **リンク [#q002fbed] -[[数理・データサイエンス教育強化拠点コンソーシアム>http://www.mi.u-tokyo.ac.jp/consortium/index.html]] 講義ビデオ -[[BayesFun>BayesFun:FrontPage]] の書評 ([[BayesFun:BookReview/和書]], [[BayesFun:BookReview/洋書]]) -[[Top Mentioned AI & Machine Learning Books on Stack Overflow / Exchange>http://www.aimlbooks.com/]] -無料で読める書籍のアーカイブ --[[統計科学のための電子図書システム>http://ebsa.ism.ac.jp/]] --[[Gutenberg Project>http://www.gutenberg.org/ebooks/37134]] 無料で読める本のアーカイブ 無料で配布されている本 -[[All of Statistics: A Concise Course in Statistical Inference>https://link.springer.com/book/10.1007/978-0-387-21736-9]] Larry Wasserman -[[Algorithmic Game Theory>http://www.cambridge.org/journals/nisan/downloads/nisan_non-printable.pdf]] N.Nisan, T.Roughgarden, É.Tardos, and V.V.Vazirani -[[Artificial Intelligence: Foundations of Computational Agents>https://artint.info/2e/html/ArtInt2e.html]] David L. Poole and Alan K. Mackworth -[[Bayesian Reasoning and Machine Learning>http://www.cs.ucl.ac.uk/staff/d.barber/brml/]] David Barber -[[Clever Algorithms: Nature-Inspired Programming Recipes>http://www.cleveralgorithms.com/]] Jason Brownlee -[[Computer Vision: Algorithms and Applications>http://szeliski.org/Book/]] Richard Szeliski -[[Convergence of Stochastic Processes>http://www.stat.yale.edu/~pollard/Books/1984book/]] D.Pollard -[[Convex Optimization>http://www.stanford.edu/~boyd/cvxbook/]] Stephen Boyd and Lieven Vandenberghe -[[Deep Learning>http://www.deeplearningbook.org/]] Ian Goodfellow, Yoshua Bengio, and Aaron Courville -[[Difference Equations to Differential Equations>http://math.furman.edu/~dcs/book/]] Dan Sloughter -[[Entropy and Information Theory>http://www-ee.stanford.edu/~gray/it.html]] R.M.Gray -[[Ethical Artificial Intelligence>https://arxiv.org/ftp/arxiv/papers/1411/1411.1373.pdf]] Bill Hibbard -[[Foundations of Data Science>https://www.cs.cornell.edu/jeh/book.pdf]] Avrim Blum, John Hopcroft, and Ravindran Kannan -[[Foundations of the Theory of Probability>http://www.mathematik.com/Kolmogorov/]] A.N.Kolmogorov -[[Foundations of Machine Learning>https://cs.nyu.edu/~mohri/mlbook/]] Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar -[[Global Optimization Algorithms - Theory and Application>http://www.it-weise.de/projects/]] Thomas Weise -[[Inductive Logic Programming -- Techniques and Applications>http://www-ai.ijs.si/SasoDzeroski/ILPBook/]] N.Lavrac & S.Dzeroski -[[Information Retrieval>http://www.dcs.gla.ac.uk/Keith/Preface.html]] C.J.van Rijsbeergen -[[Introduction to Machine Learning>http://ai.stanford.edu/~nilsson/mlbook.html]] N.J.Nilsson -[[Machine Learning>http://www.cs.cmu.edu/~tom/mlbook.html]] Tom M. Mitchell -[[Machine Learning, Neural and Statistical Classification>http://www.amsta.leeds.ac.uk/~charles/statlog/]] D.Michie, D.J.Spiegelhalter, C.C.Taylor ｰ[[Machine Learning Yearning>http://www.mlyearning.org/]] Andrew Ng -[[Markov Random Field Modeling in Computer Vision>http://www.cbsr.ia.ac.cn/users/szli/mrf_book/book.html]] Stan Z. Li -[[Mining of Massive Datasets>http://www.mmds.org/]] Jure Leskovec, Anand Rajaraman, and Jeffrey D. Ullman -[[Model-Based Machine Learning>http://www.mbmlbook.com/]]：Bishop による例に基づく機械学習の入門書 -[[Natural Image Statistics --- A probabilistic approach to early computational vision>http://www.naturalimagestatistics.net/]] A.Hyvärinen et al. -[[Neural Networks - A Systematic Introduction">http://page.mi.fu-berlin.de/rojas/neural/]] Raul Rojas; -[[Pattern Recognition and Machine Learning>https://www.microsoft.com/en-us/research/people/cmbishop/downloads/]] Christopher Bishop -[[The Quest for Artificial Intelligence: A History of Ideas and Achievements>http://ai.stanford.edu/%7Enilsson/QAI/qai.pdf]] -[[Reinforcement Learning: An Introduction>http://incompleteideas.net/book/the-book-2nd.html]] R.S.Sutton and A.G.Barto ：強化学習の定番教科書 -[[The Society of Mind>http://aurellem.org/society-of-mind/]] M. Minsky：AIの著名な本 -[[Social Media Mining: An Introduction>http://dmml.asu.edu/smm/]] Zafarani, Ali Abbasi, and Liu -[[Understanding Machine Learning: From Theory to Algorithms>http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/]] Shai Shalev-Shwartz and Shai Ben-David -[[日本統計学会創立75周年記念出版『21世紀の統計科学』(全3巻) 増補HP版>http://park.itc.u-tokyo.ac.jp/atstat/jss75shunen/]] -[[総務省 統計教材>https://www.soumu.go.jp/toukei_toukatsu/info/guide/stkankyo.htm]] **書評一覧 [#h4643006] #ls()
