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📘 Probabilistic Machine Learning: An Introduction I have been looking for a book like this. Kevin Murphy published the 2021 edition of the Probabilistic Machine Learning e-textbook. Love the emphasis on probability and math. It includes code examples. probml.github.io/pml-book/book1…
Videos, Jupyter notebooks, and transcripts in 11 languages of my NYU course on Deep Learning, taught with @alfcnz last Spring. Grazie mille to @alfcnz for putting it all together and to the volunteers for the transcripts. Course website: atcold.github.io/pytorch-Deep-L… Blog post:
We’re excited to announce the release of all materials for Yann LeCun’s Deep Learning, DS-GA 1008, co-taught in Spring 2020 with Alfredo Canziani @alfcnz. Learn more on our blog! medium.com/@NYUDataScienc… #DeepLearning
When you explain your poster and don’t notice Geoffrey Hinton standing behind you #NeurIPS2018
The expectation that you'll get it right the first time assumes you're not learning anything from doing the implementation.
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