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Blogs/Podcasts
===============
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* [Hacker News for Data Science ](https://www.datatau.com/news )
* [LightTag's Labeled Data Blog ](https://lighttag.io/blog )
2021-04-08 15:20:23 +03:00
* [Freecodecamp articles ](https://www.freecodecamp.org/news/tag/machine-learning/ )
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Podcasts
--------
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* [The O'Reilly Data Show ](http://radar.oreilly.com/tag/oreilly-data-show-podcast )
* [Partially Derivative ](http://partiallyderivative.com/ )
* [The Talking Machines ](https://www.thetalkingmachines.com/ )
* [The Data Skeptic ](https://dataskeptic.com/ )
* [Linear Digressions ](https://lineardigressions.com )
* [Data Stories ](http://datastori.es/ )
* [Learning Machines 101 ](https://www.learningmachines101.com/ )
* [Not So Standard Deviations ](https://simplystatistics.org/2015/09/17/not-so-standard-deviations-the-podcast/ )
* [TWIMLAI ](https://twimlai.com/shows/ )
* [Machine Learning Guide ](http://ocdevel.com/podcasts/machine-learning )
* [DataTalks.Club ](https://anchor.fm/datatalksclub )
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2019-03-25 03:43:23 +03:00
Newsletters
-----------
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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 ).
* [DataTalks.Club ](https://datatalks.club ). A weekly newsletter about data-related things. [Archive ](https://us19.campaign-archive.com/home/?u=0d7822ab98152f5afc118c176&id=97178021aa )
2021-11-05 00:46:50 +03:00
* [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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Data Science / Statistics
-------------------------
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* https://blog.dominodatalab.com
* https://ahmedbesbes.com/
* https://jeremykun.com/
* https://iamtrask.github.io/
* https://blog.explainmydata.com/
* https://statmodeling.stat.columbia.edu
* https://simplystatistics.org/
* https://www.evanmiller.org/
* https://jakevdp.github.io/
* http://wesmckinney.com
* https://www.overkillanalytics.net/
* https://newton.cx/~peter/
* https://mbakker7.github.io/exploratory_computing_with_python/
* https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
* https://colah.github.io/
* https://sebastianraschka.com/
* http://dogdogfish.com/
* https://www.johnmyleswhite.com/
* http://drewconway.com/zia/
* https://bugra.github.io/
* http://opendata.cern.ch/
* https://alexanderetz.com/
* http://www.sumsar.net/
* https://www.countbayesie.com
* https://karpathy.github.io/ https://medium.com/@karpathy
* http://blog.kaggle.com/
* https://www.danvk.org/
* http://hunch.net/
* http://www.randalolson.com/blog/
* https://www.johndcook.com/blog/r_language_for_programmers/
* https://www.dataschool.io/
* https://www.datasciencecentral.com
* https://mubaris.com
* https://distill.pub
* http://blog.shakirm.com/
* https://www.cs.ox.ac.uk/people/yarin.gal/website/blog.html
* [LightTag NLP Blog ](https://www.lighttag.io/blog )
* https://datatalks.club/articles.html
2021-02-24 08:52:11 +03:00
* https://www.nbshare.io/notebooks/data-science/
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Math
----
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* https://www.allendowney.com/blog/
* https://healthyalgorithms.com/
* https://petewarden.com/
* https://blog.mrtz.org
* https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw/videos
* https://www.youtube.com/channel/UCr22xikWUK2yUW4YxOKXclQ/videos
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Security Related
----------------
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* https://jordan-wright.com/blog/