Skip to content

AssemblyAI-Community/ML-Study-Guide

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 

Repository files navigation

How to get started with ML

This my recommended study guide to get started with Machine Learning.

Watch the video on YouTube.

1. Math

Learn some math basics! Focus only on these topics, then come back later in case you need to learn more.

2. Learn Python

3. Learn The ML Tech Stack:

(Scikit-Learn and TensorFlow are taught in step 4. PyTorch is optional, maybe in step 7)

4. Machine Learning Courses

5. Hands-on Data Preparation

6. Practise!

Solve Challenges and build your own projects with datasets from Kaggle.com.

7. Specialize & Create Blog

  • Specialize in one field (e.g. Computer Vision, NLP, etc.)
  • Look at requirements in corresponding job descriptions and learn those skills
  • Tip: Create a blog and share tutorials and what you have learned!

Books

If you prefer learning with books, these are great recommendations:

About

Minimal Machine Learning Study Plan

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published