You’ll find below a link I use regularly in order to keep an eye on what’s happening in the field. Feel free to comment with your suggestions. I’ll update this post when I’ll fall for something.
(great) Blogs
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BAIR |
" provides an accessible, general-audience medium for BAIR researchers to communicate research findings, perspectives on the field, and various updates” |
inFERENCe |
by Ferenc Huszár " Machine learning researcher at Twitter in London. Cambridge_Uni & Balderton alum” |
Sebastian Ruder |
“NLP, Deep Learning PhD student and research scientist” |
distill |
high quality posts with dynamics visualizations |
MIT news |
by the MIT news team |
Newsletters
link |
preview |
keywords |
hackernewsletter |
#432 |
startup news, new languages, new techs, sometimes a data section |
data elixir |
#219 |
data science, data visualization, ML, framework news, jobs |
Practicing
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kaggle |
latest Kaggle competitions and datasets |
hvass laboratories |
“Deep Learning and TensorFlow Tutorials. Investing and Finance. (…)” |
Additional resources
I didn’t try all of the links below but it might contain some gems:
- Reddit post on ML blog list
- Browsing through paperwithcode‘s state of the art section can help to extend the vocabulary
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