94 lines
3.5 KiB
Markdown
94 lines
3.5 KiB
Markdown
Blogs/Podcasts
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* [Hacker News for Data Science](https://www.datatau.com/news)
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* [LightTag's Labeled Data Blog](https://lighttag.io/blog)
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* [Freecodecamp articles](https://www.freecodecamp.org/news/tag/machine-learning/)
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* [Fennel Blog](https://fennel.ai/blog/)
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Podcasts
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--------
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* [The O'Reilly Data Show](http://radar.oreilly.com/tag/oreilly-data-show-podcast)
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* [Partially Derivative](http://partiallyderivative.com/)
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* [The Talking Machines](https://www.thetalkingmachines.com/)
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* [The Data Skeptic](https://dataskeptic.com/)
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* [Linear Digressions](https://lineardigressions.com)
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* [Data Stories](http://datastori.es/)
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* [Learning Machines 101](https://www.learningmachines101.com/)
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* [TWIMLAI](https://twimlai.com/shows/)
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* [Machine Learning Guide](http://ocdevel.com/podcasts/machine-learning)
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* [DataTalks.Club](https://anchor.fm/datatalksclub)
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* [Super Data Science Podcast with Jon Krohn](https://www.youtube.com/@SuperDataScienceWithJonKrohn)
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Newsletters
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-----------
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* [AI Digest](https://aidigest.net/). A weekly newsletter to keep up to date with AI, machine learning, and data science. [Archive](https://aidigest.net/digests).
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* [DataTalks.Club](https://datatalks.club). A weekly newsletter about data-related things. [Archive](https://us19.campaign-archive.com/home/?u=0d7822ab98152f5afc118c176&id=97178021aa)
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* [The Batch](https://read.deeplearning.ai/the-batch/) Andrew Ng's weekly AI newsletter for engineers, executives, and enthusiasts including updates on recent AI research developments.
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* [BuzzRobot AI Newsletter](https://buzzrobot.substack.com/). Exclusive talks by top researchers on cutting-edge artificial intelligence papers.
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Practice Questions
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-----------
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* [bnomial](https://today.bnomial.com/). Solve one Machine Learning questions daily and win exciting prizes.
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Data Science / Statistics
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-------------------------
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* https://blog.dominodatalab.com
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* https://ahmedbesbes.com/
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* https://jeremykun.com/
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* https://iamtrask.github.io/
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* https://blog.explainmydata.com/
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* https://statmodeling.stat.columbia.edu
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* https://simplystatistics.org/
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* https://www.evanmiller.org/
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* https://jakevdp.github.io/
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* http://wesmckinney.com
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* https://www.overkillanalytics.net/
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* https://newton.cx/~peter/
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* https://mbakker7.github.io/exploratory_computing_with_python/
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* https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
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* https://colah.github.io/
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* https://sebastianraschka.com/
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* http://dogdogfish.com/
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* https://www.johnmyleswhite.com/
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* http://drewconway.com/zia/
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* https://bugra.github.io/
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* http://opendata.cern.ch/
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* https://alexanderetz.com/
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* http://www.sumsar.net/
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* https://www.countbayesie.com
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* https://karpathy.github.io/ https://medium.com/@karpathy
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* http://blog.kaggle.com/
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* https://www.danvk.org/
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* http://hunch.net/
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* http://www.randalolson.com/blog/
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* https://www.johndcook.com/blog/r_language_for_programmers/
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* https://www.dataschool.io/
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* https://www.datasciencecentral.com
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* https://mubaris.com
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* https://distill.pub
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* http://blog.shakirm.com/
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* https://www.cs.ox.ac.uk/people/yarin.gal/website/blog.html
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* [LightTag NLP Blog](https://www.lighttag.io/blog)
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* https://datatalks.club/articles.html
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* https://www.nbshare.io/notebooks/data-science/
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Math
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----
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* https://www.allendowney.com/blog/
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* https://healthyalgorithms.com/
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* https://petewarden.com/
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* https://blog.mrtz.org
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* https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw/videos
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* https://www.youtube.com/channel/UCr22xikWUK2yUW4YxOKXclQ/videos
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Security Related
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----------------
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* https://jordan-wright.com/blog/
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