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[M1] Kevin P. Murphy.
Probabilistic Machine Learning: Advanced Topics. MIT Press, 2022.
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[M2] Kevin P. Murphy.
Probabilistic Machine Learning: An Introduction. MIT Press, 2022.
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[P] Simon J. D. Prince.
Understanding Deep Learning. MIT Press, 2023.
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[GD] Noah Gift and Alfredo Deza.
Practical MLOps. O'Reilly Media, 2021.
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[KTX] Ron Kohavi, Diane Tang, and Ya Xu.
Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing.
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[G] Aurélien Géron.
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow. O'Reilly Media, 2022.
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[H] Chip Huyen.
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. O'Reilly Media, 2022.
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[CS329S] Chip Huyen, Stanford University.
CS329S: Machine Learning Systems Design Course Syllabus
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