Data Soup

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Staying up to date in ML
Jan 6, 2019
One minute read

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

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

Research & community

source latest publications
arxiv.org machine learning, computer vision or AI
paperswithcode list of recent papers with the code
twominutepapers (legendary) youtube channel
aideadlin.es upcoming conferences with deadlines

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

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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