├── .datalad ├── .gitattributes └── config ├── .gitattributes ├── A.Shashua-Introduction_to_Machine_Learning.pdf ├── B.Efron_T.Hastie-Computer_Age_Statistical_Inference.pdf ├── C.E.Rasmussen_C.K.I.Williams-Gaussian_Processes_for_Machine_Learning.pdf ├── D.Barber-Bayesian_Reasoning_and_Machine_Learning.pdf ├── D.C.C.MacKay-Information_Theory_Inference_and_Learning_Algorithms.pdf ├── D.Michie_D.J.Spiegelhalter-Machine_Learning_Neural_and_Statistical_Classification.pdf ├── G.James_D.Witten_T.Hastie_R.Tibshirani-An_Introduction_to_Statistical_Learning_with_Applications_in_R.pdf ├── H.DaumeIII-A_Course_in_Machine_Learning.pdf ├── N.J.Nilsson-Introduction_to_Machine_Learning.pdf ├── README.md └── T.Hastie_R.Tibshirani_J.Friedman-The_Elements_of_Statistical_Learning_Data_Mining_Inference_and_Prediction.pdf /.datalad/.gitattributes: -------------------------------------------------------------------------------- 1 | config annex.largefiles=nothing 2 | metadata/aggregate* annex.largefiles=nothing 3 | metadata/objects/** annex.largefiles=(largerthan=20kb) 4 | -------------------------------------------------------------------------------- /.datalad/config: -------------------------------------------------------------------------------- 1 | [datalad "dataset"] 2 | id = 780e73c0-88ff-11e8-98cc-f0d5bf7b5561 3 | -------------------------------------------------------------------------------- /.gitattributes: -------------------------------------------------------------------------------- 1 | * annex.backend=MD5E 2 | **/.git* annex.largefiles=nothing 3 | -------------------------------------------------------------------------------- /A.Shashua-Introduction_to_Machine_Learning.pdf: -------------------------------------------------------------------------------- 1 | .git/annex/objects/xK/7m/URL-s700145--https&c%%arxiv.org%pdf%0904.3664v1.pdf/URL-s700145--https&c%%arxiv.org%pdf%0904.3664v1.pdf -------------------------------------------------------------------------------- /B.Efron_T.Hastie-Computer_Age_Statistical_Inference.pdf: -------------------------------------------------------------------------------- 1 | .git/annex/objects/Jw/V0/MD5E-s8908337--379ca0649dacbad93f3557b4410cc5ce.pdf/MD5E-s8908337--379ca0649dacbad93f3557b4410cc5ce.pdf -------------------------------------------------------------------------------- /C.E.Rasmussen_C.K.I.Williams-Gaussian_Processes_for_Machine_Learning.pdf: -------------------------------------------------------------------------------- 1 | .git/annex/objects/99/pg/URL-s4052292--http&c%%www.gaussianprocess.org%gpml%chapters%RW.pdf/URL-s4052292--http&c%%www.gaussianprocess.org%gpml%chapters%RW.pdf -------------------------------------------------------------------------------- /D.Barber-Bayesian_Reasoning_and_Machine_Learning.pdf: -------------------------------------------------------------------------------- 1 | .git/annex/objects/g5/mW/URL-s14324939--http&c%%web4.cs.ucl.ac.uk%staff%D.Barber%textbook%240415.pdf/URL-s14324939--http&c%%web4.cs.ucl.ac.uk%staff%D.Barber%textbook%240415.pdf -------------------------------------------------------------------------------- /D.C.C.MacKay-Information_Theory_Inference_and_Learning_Algorithms.pdf: -------------------------------------------------------------------------------- 1 | .git/annex/objects/vj/P6/URL-s11675219--http&c%%www.inference.phy.cam.ac.uk%itprnn%book.pdf/URL-s11675219--http&c%%www.inference.phy.cam.ac.uk%itprnn%book.pdf -------------------------------------------------------------------------------- /D.Michie_D.J.Spiegelhalter-Machine_Learning_Neural_and_Statistical_Classification.pdf: -------------------------------------------------------------------------------- 1 | .git/annex/objects/zw/WF/URL-s1787416--http&c%%www1.maths.leeds.ac.uk%,126charles%statlog%whole.pdf/URL-s1787416--http&c%%www1.maths.leeds.ac.uk%,126charles%statlog%whole.pdf -------------------------------------------------------------------------------- /G.James_D.Witten_T.Hastie_R.Tibshirani-An_Introduction_to_Statistical_Learning_with_Applications_in_R.pdf: -------------------------------------------------------------------------------- 1 | .git/annex/objects/jQ/GM/MD5E-s21322662--8689c3c26c3a1ceb60c1ba995d638677.pdf/MD5E-s21322662--8689c3c26c3a1ceb60c1ba995d638677.pdf -------------------------------------------------------------------------------- /H.DaumeIII-A_Course_in_Machine_Learning.pdf: -------------------------------------------------------------------------------- 1 | .git/annex/objects/x9/7W/URL--http&c%%ciml.info%dl%v0_9%ciml-v0_9-all.pdf/URL--http&c%%ciml.info%dl%v0_9%ciml-v0_9-all.pdf -------------------------------------------------------------------------------- /N.J.Nilsson-Introduction_to_Machine_Learning.pdf: -------------------------------------------------------------------------------- 1 | .git/annex/objects/ZV/G7/URL-s1899248--http&c%%ai.stanford.edu%,126nilsson%MLBOOK.pdf/URL-s1899248--http&c%%ai.stanford.edu%,126nilsson%MLBOOK.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Best Machine Learning Books 2 | 3 | This [DataLad](http://datalad.org) dataset collates freely available online 4 | books on various sub-fields of machine learning. It doesn't physically contain 5 | any of them, but rather contains references to original websites. 6 | 7 | If you like any of these books, please consider buying a physical copy to 8 | support the authors' work. 9 | 10 | ## Obtain books 11 | 12 | ### With DataLad 13 | 14 | datalad install https://github.com/datalad-datasets/machinelearning-books.git 15 | cd machinelearning-books 16 | datalad get *.pdf 17 | 18 | ### With git-annex 19 | 20 | git clone https://github.com/datalad-datasets/machinelearning-books.git 21 | cd mlbooks 22 | git annex get *.pdf 23 | 24 | # Licenses 25 | 26 | Originally inspired by 27 | [12 Best Free Ebooks for Machine Learning](http://designimag.com/best-free-machine-learning-ebooks). 28 | Books themselves are available under varying terms. The collection 29 | itself is made available under 30 | [PDDL](http://opendatacommons.org/licenses/pddl). 31 | -------------------------------------------------------------------------------- /T.Hastie_R.Tibshirani_J.Friedman-The_Elements_of_Statistical_Learning_Data_Mining_Inference_and_Prediction.pdf: -------------------------------------------------------------------------------- 1 | .git/annex/objects/4g/Vv/URL-s13303613--http&c%%statweb.stanford.edu%,12-04e98153e096973a0e94d05ae90fce26/URL-s13303613--http&c%%statweb.stanford.edu%,12-04e98153e096973a0e94d05ae90fce26 --------------------------------------------------------------------------------