- My favorite data science youtube channels, books, podcasts, etc. http://joshlawman.com/my-favorite-learning-resources/ 18 comments datascience
Linked pages
- GitHub: Let’s build from here · GitHub https://github.com 3047 comments
- Meetup | Find Local Groups, Events, and Activities Near You https://meetup.com 411 comments
- Sublime Text - Text Editing, Done Right https://www.sublimetext.com 399 comments
- https://www.udemy.com/ 379 comments
- Project Jupyter | Home http://jupyter.org 240 comments
- Kaggle: Your Machine Learning and Data Science Community http://www.kaggle.com 204 comments
- Coursera | Degrees, Certificates, & Free Online Courses https://coursera.org 201 comments
- Bevor Sie zu YouTube weitergehen https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw 128 comments
- Applied Artificial Intelligence https://chrisalbon.com/ 33 comments
- GitHub - rushter/data-science-blogs: A curated list of data science blogs https://github.com/rushter/data-science-blogs 26 comments
- Home | Talking Machines http://www.thetalkingmachines.com/ 16 comments
- Bevor Sie zu YouTube weitergehen https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A 16 comments
- Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems: Géron, Aurélien: 9781491962299: Amazon.com: Books https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1491962291 14 comments
- Machine Learning http://www.reddit.com/r/machinelearning/ 12 comments
- Partially Derivative http://www.partiallyderivative.com/ 11 comments
- https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp/ 9 comments
- DataIsBeautiful http://www.reddit.com/r/dataisbeautiful 9 comments
- Amazon.com: An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics): 9781461471370: James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert: Books http://www.amazon.com/Introduction-Statistical-Learning-Applications-Statistics/dp/1461471370 7 comments
- Linear Digressions http://lineardigressions.com/ 5 comments
- Gareth James http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf 3 comments
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