Best way for beginners to get started

As a beginner to machine learning and deep learning I was wondering what resources/courses/competitions are there that I could use to expand and practically apply my knowledge. I want to try and apply what I learn from the fastai courses on real life projects to actually get used to implementing models in real life and learn finer details that sometimes aren’t covered in courses.

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My recommendation:

  1. Focus on the course. Don’t try too many other courses before you actually start building something and discover gaps in your knowledge.
  2. Work on your own project. Check out Share your V2 projects here thread for inspiration
  3. Do a competition on Kaggle - check out a running competition that looks most interesting to you (don’t default to Titanic)
  4. Read the book by Jeremy and Sylvain
    Good luck! Darek