๐ Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
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!
๐ Discover ML projects with code on niche topics that interest you.
๐ Build projects of your own and share it with the community.
๐ฉโ๐ป Showcase your profile on your resume or apply directly to ML managers.
NOTE: Everyone has Coursera, Kaggle, and fastai on their resumes so differentiate yourself by showcasing your projects. Check out this article on how to stand out with a MWML profile.
Should I pick TensorFlow or PyTorch? Choice of framework doesnโt matter! Check out the basic lessons and choose what you find more intuitive/suitable but the most important thing is to work on projects and share them with the community.
Do I need to know both TensorFlow or PyTorch? It is very important to at least know how to read both
frameworks because cutting edge research continues to use both frameworks. Luckily, they're both very easy to learn and very easy to rewrite in the other framework.
๐ป 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.
๐ If you prefer Jupyter Notebooks or want to add/fix content, check out the notebooks directory.