lists: https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md http://www.datasciencecentral.com/profiles/blogs/10-free-machine-learning-books https://proglib.io/p/machine-learning-free-books-list/ misc books review: https://habrahabr.ru/company/neurodatalab/blog/336218/ https://habrahabr.ru/company/mailru/blog/333862/ ???? Cornell - Foundations of Data Science https://www.cs.cornell.edu/jeh/book.pdf https://www.youtube.com/watch?v=DqBUALT6dnM Stanford - Leskovec - Mining of Massive DataSets http://www.mmds.org/ 2023 Harbans - Groking AI Algorithms ru CC9C0B2B693ADA92751AB1E91B2CC88E 2022 Murphy - Probabilistic Machine Learning ru F6BF6002011CB0F4A3F324A2B1A40B05 AE9803FC32101B32632F02DE25C791F6 !!! 942p Protodyakonov - Data Science Algorithms and Their Practical Python Implementation ru 3E67E80171D366146AB562DABE16C98F 09F9CAD4C58FB879D5D65A5803C97CBC Willson - Machine Learning Engineering in Action 15B1874A2FAACB20A9A6F7935304068A 2021 Grus - Data Science from Scratch 2nd ed ru 5B610EB9AAB0CF1F29AFF820AC105F81 magnet:?xt=urn:btih:567d1d7b915a60c21c7643c2e59a0dc74a761905 2020 Burkov - The Hundreed-Page ML Book ru 86E7734F7B8485B7064071E0CC2D1A21 7128164CB647DCC46D68BBC1D06C610D Burkov - Machine Learning Engineering https://vk.com/doc255577237_577516437?hash=09eb0aca5cb7c656f1 6E9524F2B2D2F061B7F2016AB1883123 Watt - Machine Learning Refined 2nd ed 112249BB612C64411A678403673C1648 85BF3E6FDE6AB7CA0CF44D727E48BCB7 Aggarwal - Linear Algebra and Optimization for Machine Learning 49A259B8995A71143C7D1C6DAD0B9B33 6ECC0EF302A496AAC701D89E6166DCB2 D34B862EE849F842028973326238729B Fennner - Machine Learning With Python for Everyone 6A69FDD7A22B29B02F6581648DB92EED D94E4CD766940D79ABED0BC6BA4E4344 B54994FED8579E827A4D4F4E9BF6EACB DeisenrothFaisalOng - Mathematics for Machine Learning CB5296ACD5142E89D65497CAD990BC11 https://mml-book.github.io/ https://github.com/mml-book/mml-book.github.io Bonaccorso - Mastering Machine Learning Algorithms 2nd ed https://vk.com/doc7608079_565522957?hash=bd7ac4ec41be4234f1 4F8D2F186383C89F7385F2C6137BEEC3 SuttonBarto - Reinforcement Learning 2nd ed ru F7E63AA596FA3FEC652C757AE50766E2 Hurbans - Grokking Artificial Intelligence Algorithms 4EFD486FED05D3DDEB937A247E85E6BD 050DE26CAF73D5D7196B5543ED15530F 322A19DA16DF21341029CF320662193D 2434345E4A399E08F184C40415745229 2019 Joshi - AI with Python ru https://vk.com/doc7608079_502574559?hash=d2f2b794e11861dd35 https://vk.com/doc7608079_513765512?hash=016d77fc1080fab20d ! good and informative ! Strang - Linear Algebra and Learning from Data A556CCA72B3B8F9D8186E3685FFC8877 BFF855238D78E1E46504A80795B7B5EC 4456A8A88FDAF988B250DC4AF66273E3 6E79F464892430FB239E20517EDA15C0 Porcu - Python for Data Mining (too short) Joshi - Artificial Intelligence with Python ru 2018 Bobkov - Pattern Recognition System ru https://vk.com/doc7608079_513130976?hash=6c3995f1a644bde542 Albon - Machine Learning with Python Cookbook good, a lot of samples Sarkar - Practical ML with Python https://vk.com/doc44301783_464701026 Albon - Machine Learning with Python Cookbook Kruk - Practical Python AI Projects Ayyadevara - Pro Machine Learning Algorithms 30D0FEF2ACF758B5F4E2FEA6D30E8FB9 68ECD0EFB6E9EAC54E93B3F80A9EC819 Natingga - Data Science Algorithms in a Week 2nd ed (basic stuff in a shallow way) VanderPlas - Python Data Science Handbook ru (!!!) https://vk.com/doc44301783_457112102 Gori - Machine Learning - A Constraint-Based Approach BoikaKazula - 2018 - Machine Learning in Java 2nd ed https://vk.com/doc255577237_576655862?hash=da3a082dfb7e426dce 2017 Sugomori - Deep Learning: Practical Neural Networks with Java https://vk.com/doc4004138_455539173 Myuller - Intro to ML using Python ru Raschka - Python Machine Learning ru Bonaccorzo - Machine Learning Algorithms https://jakevdp.github.io/PythonDataScienceHandbook/ Bonnin - Machine Learning for Developers Brink - Real World Machine Learning Brink - Real-World Machine Learning ru https://vk.com/doc247540843_456982697 Joshi - Artificial Intelligence with Python https://vk.com/doc182314867_467597874 Pierson - Data Science For Dummies 2nd ed Geron - Hands-On Machine Learning with Scikit-Learn and TensorFlow https://vk.com/doc7608079_518505448?hash=5b62ee766a10970eb5 Bonaccorso - Machine Learning Algorithms Kubat - An Introduction to Machine Learning 2nd ed 2016 Domingos - The Master Algorithm https://vk.com/doc7608079_506331045?hash=32adde44d1960971a2 3B1AFBEFB6C7E840DA83003A67C661B2 4C14AA3EBE9B31677F0B3D861AB89362 Mueller - Machine Learning For Dummies 2016 Rashid - Make your own Neural Network https://vk.com/doc7608079_513910850?hash=a150bbcb838986a529 2015 Marsland - Machine Learning - An Algorithmic Perspective 2nd ed interesting and balanced 2014 Sutton - Reinforcement Learning https://vk.com/doc44301783_454908883 2012 Murphy - Machine Learning - A Probabilistic Perspective https://vk.com/doc182314867_482945784?hash=5efafc1730fe09e4c3 https://vk.com/doc422237374_534325715?hash=85cc233cd9e8c693f5 2005 Yasnitskiy - AI Intro 2nd ed ru good review of classic approaches Statistics: Unpingco - Python for Probability, Statistics and Machine Learning https://vk.com/doc4004138_453239844?hash=abd1387c870bafb957&dl=370437fe6fbaa611e1 python Muller - Introduction to Machine Learning with Python https://vk.com/doc90175155_462550667 Muller - Introduction to Machine Learning with Python (ru) Cilien - Introducing Data Science ru https://vk.com/doc44301783_457112161 Grus - Data Science from Scrutch ru Coelho - Building Machine Learning Systems with Python ru https://vk.com/doc190970339_437111950 Haykin - 2006 - NNs A Comprehensive Foundation 2nd ed ru: https://vk.com/doc4004138_437978172 https://vk.com/doc123534285_437548299 ? Flach - Machine Learning https://vk.com/doc625211_453355957 https://vk.com/doc123534285_437595048 https://www.dropbox.com/s/2awc9bkd3dx115e/flakh_p_mashinnoe_obuchenie_nauka_i_iskusstvo_postroeniya_al.djvu?dl=0