Content - Create a practical machine learning study roadmap

[alpesh-rama]

As a user of this project's artifacts;
I want to find out what my machine learning knowledge/ability gaps are and how to work on them;
so that I can get to work immediately building on my practical machine learning skills/abilities.

• Create a visual roadmap of machine learning topics - this must be comprehensive, granular, and focus specifically on machine learning
• Provide links (URLs) to specific resources for each discrete topic - these resources must focus on the practical methodology (rather than pure theory)

Here are some links to similar artifacts (careful! these are for data science, not machine learning) - for clarity and inspiration:
Data Science Landscape - Data Professor, 2021
Data Science Learning Roadmap - FreeCodeCamp, 2021

Difficulty: Medium
If it is clear that a good effort has been made to complete this issue, but it is not fully complete, then an additional issue(s) will be added to follow-on from the progress made 🙂