Books
The below lists various books on Artificial Intelligence, Machine Learning and related topics.
Books
- Deep Learning Reading List also includes Courses, Videos, Lectures, DataSets and much more
- Books for both novice and advanced neural netters (last updated 2002)
- List of neural network and related journals.
- Selection of bibliographic search tools for neural network literature.
- Neuroprose article archive at Ohio State.
- SEL-HPC neural network article archive.
- Model-based Machine Learning at mbmlbook.com
- Kernel Methods for Pattern Analysis – Information and resources relative to the book “Kernel Methods for Pattern Analysis” by Shawe-Taylor and Cristianini.
- Machine Learning: A Bayesian and Optimization Perspective by Sergios Theodoridis.
- Data Science from Scratch – First Principles with Python by Joel Grus.
- Dummies for Data Science – A Reading List by Kirk Borne.
Free Online Books
- Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville
- Neural Networks and Deep Learning by Michael Nielsen
- Deep Learning by Microsoft Research
- Deep Learning Tutorial by LISA lab, University of Montreal
- Neural Networks and Deep Learning by Michael Nielsen
- Machine Learning Projects for .NET Developers
Book Reviews
- Book review: Fundamentals of Deep Learning: Designing Next-Generation Artificial Intelligence Algorithms by Nikhil Buduma Review by Ajit Jaokar
If you would like us to add a specific item to this list, please let us know via our add a link page
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