Category:

  • Specialized Learning

Progression

ID Status Learning Item Type Related Project Date Completed
1 Not Started Introduction to Linear Algebra by Gilbert Strang Book

https://www.freecodecamp.org/news/machine-learning-basics-for-developers/

https://pabloinsente.github.io/intro-linear-algebra

http://vmls-book.stanford.edu/

First 30 days of ML

Neural networks from the ground up

Machine learning foundations by google developers

www.​kaggle.​com/c/digit-recognizer

Andrew Ng’s Machine Learning on Coursera will ground you on what goes on behind the high level algorithms.


To say that you want to get into ML or say that you want to use ML is incredibly broad. What specifically about ML do you want to do? Implement new methods, data analysis, build a product? Research or engineering. What you study will be vastly different towards that goal. State of the art methods get math-intensive, whereas production is more focused on the inputs and outputs.

Resources