Appendix: Post Springboard
- https://www.kdnuggets.com/2019/03/another-10-free-must-read-books-for-machine-learning-and-data-science.html
- http://blog.aylien.com/12-of-the-best-free-natural-language-processing-and-machine-learning-educational-resources/
- http://text-analytics101.rxnlp.com/
- https://bloomberg.github.io/foml/#home
- https://medium.com/data-science-101
- https://elitedatascience.com/data-science-resources
- https://blog.insightdatascience.com/
- http://www.experian.com/blogs/news/datatalk/steps-to-become-data-scientist/
- https://web.stanford.edu/~jurafsky/slp3/
- https://tutorials.datasciencedojo.com/building-data-science-products/
- https://tutorials.datasciencedojo.com/machine-learning-business-case/
- https://tutorials.datasciencedojo.com/artificial-intelligence-social-good/
- https://www.datacamp.com/courses/analyzing-social-media-data-in-python
- https://www.datacamp.com/courses/software-engineering-for-data-scientists-in-python
- https://www.datacamp.com/courses/customer-analytics-ab-testing-in-python
- https://www.datacamp.com/courses/designing-machine-learning-workflows-in-python
- https://www.datacamp.com/courses/supply-chain-analytics-in-python
- https://www.datacamp.com/courses/optimizing-python-code-with-pandas
- https://www.datacamp.com/courses/extreme-gradient-boosting-with-xgboost
