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Expand Up @@ -376,37 +376,32 @@ Each day I take one subject from the list below, read it cover to cover, take no
- [Data Skeptic](http://dataskeptic.com/)
- [This Week in Machine Learning & AI](https://twimlai.com/)
- [Machine Learning Guide](http://ocdevel.com/podcasts/machine-learning)

- ### Interviews with ML Practitioners, Researchers and Kagglers about their Joureny
- [Chai Time Data Science](https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x), [Audio](http://anchor.fm/chaitimedatascience), [Writeups](https://sanyambhutani.com/tag/chaitimedatascience/)

- ### "More" advanced podcasts
- [Partially Derivative](http://partiallyderivative.com/)
- [O’Reilly Data Show](http://radar.oreilly.com/tag/oreilly-data-show-podcast)
- [Not So Standard Deviation](https://soundcloud.com/nssd-podcast)

- ### Podcasts to think outside the box:
- [Data Stories](http://datastori.es/)
- [DataTalks.Club Podcast](https://anchor.fm/datatalksclub)

## Communities
- Quora
- [Machine Learning](https://www.quora.com/topic/Machine-Learning)
- [Statistics](https://www.quora.com/topic/Statistics-academic-discipline)
- [Data Mining](https://www.quora.com/topic/Data-Mining)

- Reddit
- [Machine Learning](https://www.reddit.com/r/machinelearning)
- [Computer Vision](https://www.reddit.com/r/computervision)
- [Natural Language](https://www.reddit.com/r/languagetechnology)
- [Data Science](https://www.reddit.com/r/datascience)
- [Big Data](https://www.reddit.com/r/bigdata)
- [Statistics](https://www.reddit.com/r/statistics)

- [Data Tau](http://www.datatau.com/)

- [Deep Learning News](http://news.startup.ml/)

- [KDnuggets](http://www.kdnuggets.com/)
- [DataTalks.Club](https://datatalks.club)

## Conferences
- Neural Information Processing Systems ([NIPS](https://nips.cc/))
Expand All @@ -430,6 +425,7 @@ Each day I take one subject from the list below, read it cover to cover, take no
- [ ] [Collection of Machine Learning Interview Questions](http://analyticscosm.com/machine-learning-interview-questions-for-data-scientist-interview/)
- [ ] [121 Essential Machine Learning Questions & Answers](https://elitedatascience.com/mlqa-reading-list)
- [ ] [Minimum Viable Study Plan for Machine Learning Interviews](https://github.com/khangich/machine-learning-interview)
- [ ] [Data Science Interviews](https://github.com/alexeygrigorev/data-science-interviews)

## My admired companies
- [ ] [ELSA - Your virtual pronunciation coach](https://www.elsanow.io/home)