Self-Study Guide to Machine Learning

Last Updated on August 16, 2020

There are lots of things you can do to learn about machine learning.

There are resources like books and courses you can follow, competitions you can enter and tools you can use.

In this post I want to put some structure around these activities and suggest a loose ordering of what to tackle when in your journey from programmer to machine learning master.

Four Levels of Machine Learning

Consider four levels of competence in machine learning. This is a model to help us think about the resources and activities available and when a good time to tackle them might be.

  1. Beginner
  2. Novice
  3. Intermediate
  4. Advanced

I want to separate beginner from novice here because I want to show that an absolute beginner (a programmer with an interest in the field) has a path before them if they choose.

We are going to tour through each of these four levels and look at resources and activities that can help someone at one level learn more and progress their understanding and skill levels.

The breakdown is just a suggestion, and it is very likely that some activity or resource at a level before or after
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