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Link to the Homepage: Data Science
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Bishop, Christopher M Pattern Recognition and Machine Learning Springer 2009 | |
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Brunton, Steven L. and Kutz, Nathan Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control Cambridge 2019 |
Géron, Aurélien Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems O'Reilly Jahr | |
Goodfellow, Ian Deep Learning MIT 2016 | |
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Hastie, Trevor; Tibshirani, Robert and Friedman, Jerome H. The Elements of Statistical Learning Springer 2011 |
James, Gareth et al. An Introduction to Statistical Learning: With Applications in R Springer 2021 | |
Murphy, Kevin P. Machine Learning: A Probabilistic Perspective MIT 2012 | |
Russell, Stuart and Norvig, Peter Artificial Intelligence: A Modern Approach Pearson 2021 | |
Spiegelhalter, David J. The Art of Statistics: Learning from Data Pelican 2019 | |
Sutton, Richard S. and Barto, Andrew Reinforcement Learning: An Introduction MIT 2018 | |
Wintjen, Marc and Vlahutin, Andrew Practical Data Analysis Using Jupyter Notebook Packt 2020 |