madewithml/practicalAI
Learn ML with clean code, simplified math and illustrative visuals.
| repo name | madewithml/practicalAI |
| repo link | https://github.com/madewithml/practicalAI |
| homepage | https://madewithml.com |
| language | Jupyter Notebook |
| size (curr.) | 22745 kB |
| stars (curr.) | 23664 |
| created | 2018-11-05 |
| license | MIT License |
Made With ML · Lessons
Build your portfolio
As you learn ML, it’s important to work on projects, so check out Made With ML for inspiration and to create a profile to showcase your own projects!
NOTE: For those looking for careers in ML, everyone has Coursera, Kaggle, fasti on their resumes, so how are you differentiating yourself? Check out this post on how to stand out with an MWML profile.
Notebooks
Talk about why you need to at least be able to read both these days. Great research that continues to use both frameworks and it’s very easy to learn and very easy to rewrite in the other framework. 💻 These are not a set of tutorials where we just load a bunch of packages and apply it on preloaded datasets. We explain every concept in the notebooks with clean code, simple math and visualizations to make them as intuitive as possible. 📆 Typical release cadence will be one new notebook topic per week (starting April 2020). 📓 If you prefer Jupyter Notebooks or want to add/fix content, check out the notebooks directory.
