Machine learning theory books
| Title | Type | Subjects | Authors | Language | Audience | Reviews | URLs | Last checked | License |
|---|---|---|---|---|---|---|---|---|---|
| A First Course in Causal Inference | Book | Algorithms Theory |
Ding, Peng | English | Undergrad | PDF Site Res |
2023-11-11 | ||
| Algebra, Topology, Differential Calculus, and Optimization Theory for Computer Science and Machine Learning | Book | Algorithms Math Theory |
Gallier, Jean Quaintance, Jocelyn |
English | Grad | PDF Site |
2023-11-11 | ||
| An Introduction to Statistical Learning, with Applications in Python | Book | Algorithms Theory Programming |
James, Gareth Witten, Daniela Hastie, Trevor Tibshirani, Robert Taylor, Jonathan |
English | Undergrad | PDF Res |
2023-11-11 | ||
| An Introduction to Statistical Learning, with Applications in R | Book | Algorithms Theory Programming |
James, Gareth Witten, Daniela Hastie, Trevor Tibshirani, Robert |
English | Undergrad | PDF Res |
2023-11-11 | ||
| Bandit Algorithms | Book | Algorithms Theory |
Lattimore, Tom Szepesvári, Csaba |
English | Grad | PDF Res |
2023-11-11 | ||
| Bayes Rules! An Introduction to Applied Bayesian Modeling | Book | Algorithms Theory |
Johnson, Alicia A. Ott, Miles Q. Dogucu, Mine |
English | Undergrad | Web Site |
2023-11-25 | ||
| Bayesian Reasoning and Machine Learning | Book | Algorithms Theory |
Barber, David | English | Grad | PDF Site |
2023-11-11 | ||
| Boosting: Foundations and Algorithms | Book | Algorithms Theory |
Schapire, Robert E. Freund, Yoav |
English | Grad | PDF Site |
2023-11-11 | CC BY-NC-ND 4.0 DEED | |
| Computational Topology for Data Analysis | Book | Algorithms Math Theory |
Dey, Tamal K. Wang, Yusu |
English | Grad | PDF Site |
2023-11-11 | Personal use | |
| Convex Optimization for Machine Learning | Book | Algorithms Math Theory |
Suh, Changho | English | Undergrad | PDF Site |
2023-11-11 | CC BY-NC 2.0 DEED | |
| Data Mining and Machine Learning: Fundamental Concepts and Algorithms | Book | Algorithms Theory |
Zaki, Mohammed J. Meira, Wagner Jr |
English | Undergrad | Web Site |
2023-11-11 | ||
| Deep Learning | Book | Algorithms Theory |
Goodfellow, Ian Bengio, Yoshua Courville, Aaron |
English | Undergrad | Site | 2023-11-11 | ||
| Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory | Book | Algorithms Theory |
Jentzen, Arnulf Kuckuck, Benno Wurstemberger, Philippe von |
English | Undergrad | PDF Code |
2023-11-25 | ||
| Distributional Reinforcement Learning | Book | Algorithms Math Theory |
Bellemare, Marc G. Dabney, Will Rowland, Mark |
English | Undergrad | PDF Site |
2023-11-11 | CC BY-NC-ND 4.0 DEED | |
| Dive into Deep Learning | Book | Algorithms Theory |
Zhang, Aston Lipton, Zachary C. Li, Mu Smola, Alexander J. |
English | Undergrad | Site | 2023-11-25 | CC BY-SA 4.0 DEED | |
| Dive into Deep Learning | Book | Algorithms Theory |
Zhang, Aston Lipton, Zachary C. Li, Mu Smola, Alexander J. |
Chinese | Undergrad | Site | 2023-11-25 | CC BY-SA 4.0 DEED | |
| Dive into Deep Learning | Book | Algorithms Theory |
Zhang, Aston Lipton, Zachary C. Li, Mu Smola, Alexander J. |
Portuguese | Undergrad | Site | 2023-11-25 | CC BY-SA 4.0 DEED | |
| Dive into Deep Learning | Book | Algorithms Theory |
Zhang, Aston Lipton, Zachary C. Li, Mu Smola, Alexander J. |
Turkish | Undergrad | Site | 2023-11-25 | CC BY-SA 4.0 DEED | |
| Dive into Deep Learning | Book | Algorithms Theory |
Zhang, Aston Lipton, Zachary C. Li, Mu Smola, Alexander J. |
Vietnamese | Undergrad | Site | 2023-11-25 | CC BY-SA 4.0 DEED | |
| Dive into Deep Learning | Book | Algorithms Theory |
Zhang, Aston Lipton, Zachary C. Li, Mu Smola, Alexander J. |
Korean | Undergrad | Site | 2023-11-25 | CC BY-SA 4.0 DEED | |
| Dive into Deep Learning | Book | Algorithms Theory |
Zhang, Aston Lipton, Zachary C. Li, Mu Smola, Alexander J. |
Japanese | Undergrad | Site | 2023-11-25 | CC BY-SA 4.0 DEED | |
| Elements of Causal Inference: Foundations and Learning Algorithms | Book | Algorithms Theory |
Peters, Jonas Janzing, Dominik Schölkopf, Bernhard |
English | Grad | PDF Site |
2023-11-11 | CC BY-NC-ND 4.0 DEED | |
| Foundations of Data Science | Book | Algorithms Data science Theory |
Blum, Avrim Hopcroft, John Kannan, Ravindran |
English | Undergrad | 2023-11-25 | Personal use | ||
| Foundations of Machine Learning | Book | Algorithms Theory |
Mohri, Mehryar Rostamizadeh, Afshin Talwalkar, Ameet |
English | Grad | PDF Web Errata |
2023-11-11 | CC BY-NC-ND 4.0 DEED | |
| Linear Algebra and Optimization with Applications to Machine Learning - Volume I: Linear Algebra for Computer Vision, Robotics, and Machine Learning | Book | Algorithms Math Theory |
Gallier, Jean Quaintance, Jocelyn |
English | Undergrad | PDF Site |
2023-11-11 | ||
| Mathematical Analysis of Machine Learning Algorithms | Book | Algorithms Theory |
Zhang, Tong | English | Grad | PDF Site |
2023-11-11 | Personal use | |
| Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory | Book | Algorithms Math Theory |
Jentzen, Arnulf Kuckuck, Benno von Wurstemberger, Philippe |
English | Grad | PDF Res |
2023-11-11 | ||
| Mathematics for Machine Learning | Book | Algorithms Theory |
Deisenroth, Marc P. Faisal, A. Aldo Ong, Cheng Soon |
English | Undergrad | PDF Site |
2023-11-11 | ||
| Multi-Agent Reinforcement Learning: Foundations and Modern Approaches | Book | Algorithms Theory |
Albrecht, Stefano V. Christianos, Filippos Schäfer, Lukas |
English | Undergrad | PDF Site |
2023-11-11 | CC BY-NC-ND 4.0 DEED | |
| Pattern Recognition and Machine Learning | Book | Algorithms Theory |
Bishop, Christopher M. | English | Undergrad | 2023-11 | PDF Site |
2023-11-11 | |
| Patterns, predictions, and actions: Foundations of machine learning | Book | Algorithms Theory |
Hardt, Moritz Recht, Benjamin |
English | Undergrad | PDF Site |
2023-11-11 | CC BY-NC-ND 4.0 DEED | |
| Pen and Paper Exercises in Machine Learning | Book | Algorithms Theory |
Gutmann, Michael U. | English | Undergrad | PDF Site |
2023-11-11 | ||
| Probabilistic Machine Learning: Advanced Topics | Book | Algorithms Theory |
Murphy, Kevin P. | English | Undergrad | PDF Site |
2023-11-11 | CC BY-NC-ND 4.0 DEED | |
| Probabilistic Machine Learning: An Introduction | Book | Algorithms Theory |
Murphy, Kevin P. | English | Undergrad | PDF Site |
2023-11-11 | CC BY-NC-ND 4.0 DEED | |
| Probability and Bayesian Modeling | Book | Algorithms Theory |
Albert,Jim Hu, Jingchen |
English | Undergrad | Web Res |
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| Reinforcement Learning: An Introduction | Book | Algorithms Theory |
Sutton, Richard S. Barto, Andrew G. |
English | Undergrad | PDF Site |
2023-11-11 | CC BY-NC-ND 2.0 DEED | |
| Speech and Language Processing | Book | Algorithms Theory |
Jurafsky, Dan Martin, James H. |
English | Undergrad | PDF Site |
2023-11-11 | ||
| The Elements of Statistical Learning: Data Mining, Inference, and Prediction | Book | Algorithms Theory Programming |
Hastie, Trevor Tibshirani, Robert Friedman, Jerome |
English | Undergrad | PDF Site |
2023-11-11 | ||
| Understanding Deep Learning | Book | Algorithms Theory |
Prince, Simon J.D. | English | Undergrad | PDF Site |
2023-11-11 | CC BY-NC-ND 4.0 DEED | |
| Understanding Machine Learning: From Theory to Algorithms | Book | Algorithms Theory |
Shalev-Shwartz, Shai Ben-David, Shai |
English | Undergrad | PDF Site |
2023-11-11 | Personal use | |