Blogs/Podcasts
===============

* [Hacker News for Data Science](https://www.datatau.com/news)
* [LightTag's Labeled Data Blog](https://lighttag.io/blog)
* [Freecodecamp articles](https://www.freecodecamp.org/news/tag/machine-learning/)
* [Fennel Blog](https://fennel.ai/blog/)

Podcasts
--------

* [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)
* [Super Data Science Podcast with Jon Krohn](https://www.youtube.com/@SuperDataScienceWithJonKrohn)

Newsletters
-----------

* [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)
* [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.

Practice Questions
-----------

* [bnomial](https://today.bnomial.com/). Solve one Machine Learning questions daily and win exciting prizes.

Data Science / Statistics
-------------------------

* 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
* https://www.nbshare.io/notebooks/data-science/

Math
----

* 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

Security Related
----------------

* https://jordan-wright.com/blog/