Keep some links, simple explanations, short texts around ML and Data Science. mostly for personal use

ML_my_roadmap.md

My Roadmap to study ML (and more Data Science stuff)

Keep some links, simple explanations, short texts around ML and Data Science. The text is public, but I believe that it's not usefull for anyone than me.

Awesome-lists:

• https://github.com/josephmisiti/awesome-machine-learning
• https://github.com/academic/awesome-datascience
• https://github.com/siboehm/awesome-learn-datascience
• https://github.com/igorbarinov/awesome-data-engineering

Topics

1. Quick course from Google (crash-course)
2. Some basic papers and internet texts around ML and Data Science
3. Tools (Mostly text about some ML and Data Science tools)

1 - Quick course from Google

Link: https://developers.google.com/machine-learning/crash-course/

What I learned with it?

2 - Some basic papers and other texts around the themes

3 - Tools and tutorials

• Learn enough docker to be useful
• Docker para desenvolvedores - In portuguese
• 3