The Fast and the Furious 2 of machine learning is now available for your pleasure.
Part 1, Part 2
Fast.ai is the very best way to learn practical Deep Learning. Period.
The first iteration of course 1 and 2, used Keras and the new versions use their own library built on top of PyTorch. Their new library is awesome and has a lot of useful best practice functions.
If you are interested in learning more about Data Science, you can check out the course page for the CS109 Data Science Course at Harvard University.
Topics covered are among others:
- Web Scraping
- Regular Expressions
- Data Reshaping
- Data Cleanup
- Frequentist Statistics
- Bias and Regression
- SVM, Decision Trees, Random Forests
- Ensemble Methods
- Bayes Theorem and Bayesian Methods
- Interactive Visualization
- Deep Networks