I get a lot of messages from you Fellow Scholars that you would like to get started in machine learning and are looking for materials. Below you find a ton of resources to get you started!
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The AI Revolution: The Road to Superintelligence on Wait But Why:
Superintelligence by Nick Bostrom:
Courses:
Welch Labs –
Andrew Ng on Coursera –
Andrew Ng (YouTube playlist) –
Nando de Freitas (UBC) –
Nando de Freitas (Oxford) –
Nando de Freitas (more) –
One more at Caltech –
Andrej Karpathy –
UC Berkeley –
Geoffrey Hinton –
Machine Learning specialization at Coursera –
MIT –
Mathematicalmonk’s course:
“Pattern Recognition and Machine Learning” by Christoper Bishop:
“Algorithms for Reinforcement Learning” by Csaba Szepesvári:
A great talk on deep learning libraries:
Two great sources to check for new papers:
Recent machine learning papers on the arXiv:
The Machine Learning Reddit:
One more great post on how to get started with machine learning:
A great blog post on how to get started with Keras:
A website with lots of intuitive articles on deep learning:
A free book on deep learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville:
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