Same recipe as it has been: better algorithms and model architectures, continued focus on inference performance optimizations, improved hardware for inference, more efficient data center operations, etc. These things compound together pretty well, generally.
MACHINE LEARNING
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Hands-On Genetic Algorithms with Python: Second Edition Book
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MIT Free eBook: Mathematics for Computer Science 1048 Pages
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MIT eBook on Algorithms for Decision-Making Available Online
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[700-page PDF e-Book] #Algorithms for Decision-Making — brilliant and comprehensive eBook from MIT: http://
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Updated Machine Learning Textbook PDF Available for Download
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Free PDF eBook on Deep Learning by François Fleuret Available
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Introduction to Reinforcement Learning Algorithms and Foundations
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Introduction to various #ReinforcementLearning #Algorithms: http://
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Machine Learning Refined: Foundations, Algorithms, and Python Applications
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Bayesian Machine Learning and Probabilistic Learning Methods for Data Science
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Algorithms to Live By: Computer Science Approaches to Human Decision Making
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