ReviewsMit Press Machine Learning

Probabilistic Machine Learning An Introduction Adaptive Computation and Machine Learning series

  • 855 Pages - 03/01/2022 (Publication Date) - The MIT Press (Publisher).
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Machine Learning A Probabilistic Perspective Adaptive Computation and Machine Learning series

  • 1104 Pages - 09/07/2012 (Publication Date) - The MIT Press (Publisher).
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Probabilistic Graphical Models Principles and Techniques Adaptive Computation and Machine Learning series

  • 07/31/2009 (Publication Date) - The MIT Press (Publisher).
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The Prime Number Conspiracy The Biggest Ideas in Math from Quanta

  • 400 Pages - 12/04/2018 (Publication Date) - The MIT Press (Publisher).
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Privacy Is Hard and Seven Other Myths Achieving Privacy through Careful Design

  • 264 Pages - 10/05/2021 (Publication Date) - The MIT Press (Publisher).
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Lectures on the Philosophy of Mathematics

  • 338 Pages - 02/02/2021 (Publication Date) - The MIT Press (Publisher).
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Phenomenology The MIT Press Essential Knowledge series

  • 253 Pages - 08/04/2020 (Publication Date) - The MIT Press (Publisher).
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Obfuscation A User s Guide for Privacy and Protest

  • 137 Pages - 09/11/2015 (Publication Date) - The MIT Press (Publisher).
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Biological Modeling and Simulation A Survey of Practical Models Algorithms and Numerical Methods

  • 552 Pages - 01/07/2022 (Publication Date) - The MIT Press, Year: 2008 (Publisher).
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Imperfection A Natural History

  • 04/11/2023 (Publication Date) - The MIT Press (Publisher).
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Foundations of Statistical Natural Language Processing

  • 822 Pages - 05/28/1999 (Publication Date) - The MIT Press (Publisher).
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