Adaptive Computation and Machine Learning Books in Order
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The Adaptive Computation and Machine Learning series, authored by Ian J. Goodfellow and published between 2006 and 2016, focuses on advanced computational methods for machine learning. It explores mathematical foundations and practical techniques used in developing intelligent systems, with an emphasis on theoretical rigor and real-world applications. The series addresses topics such as deep learning and Gaussian processes, providing resources for both academic researchers and industry professionals.
Adaptive Computation and Machine Learning is published by The MIT Press.
Publication order
In the order the books were originally released.
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Buy on AmazonGaussian processes for machine learning
2006 · Carl Edward Rasmussen
A book published in 2006. Gaussian processes (GPs) provide an approach to kernel-machine learning, and this book offers a comprehensive and…
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Buy on Amazon2016 · Ian J. Goodfellow, Yoshua Bengio and Aaron C. Courville
Deep learning is a form of machine learning enabling computers to learn from experience and understand the world through a hierarchy of concepts,…
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Frequently asked questions
What order should I read the Adaptive Computation and Machine Learning books in?
Read them in publication order, starting with “Gaussian processes for machine learning”. Start with “Gaussian processes for machine learning.”
How many books are in the Adaptive Computation and Machine Learning series?
We list 2 books by Carl Edward Rasmussen , published between 2006–2016.
Where can I buy the Adaptive Computation and Machine Learning books?
Each title above links to Amazon. See our affiliate disclosure.
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Reading order compiled from author/publisher guidance and verified bibliographic data. Spotted a wrong order, a missing book, or any other mistake? and we'll correct it.