Math (For ML Beginners)

Machine Learning mostly requires the fundamental understanding of Linear Algebra, Statistics and Probability. While you can learn how to use all the advanced libraries to accomplish your ML tasks, once something breaks you won’t be able to fix it. Even worse, you won’t be able to understand any new studies being done in the field, since to understand them, you will need a somewhat deep understanding of mathematics. Also, you won’t be able to conduct your own studies or play around with mathematical ML concepts.

Here is list of links which I recommend in descending order of importance:

Khan Academy:

2. YouTube:

Linear Algebra(REALLY GOOD): 3Blue1Brown

Statistics(as of writing this, the series is on going): CrashCourse Statistics

Machine Learning (For Everyone)

This being a very huge topic, it is somewhat hard to find good resources which explain the content properly. Hopefully the following help.

NOTE: I’m not sure why, but some YouTube links do not work on the mobile app.

YouTube:

2. Coursera:

3. Podcast:

OCDevel’s Machine Learning Podcast (Suggested by Reddit user: java568)

4. Others:

Google’s Machine Learning Crash Course (Uses Tensorflow but will take you very far)

Although this might not seem like a lot, but trust me, once you start getting into the links and really start utilizing the content to the fullest, you will understand how much content there is in just these links.

I hope these resources provide for a good and wholesome learning experience. I for sure wish I had these when I first started out. If you’d like to stay connected with informative post like these, you can follow me as I plan to make more posts to help out the ML beginners.