This article was written by Nam Vu on GitHub.
What is it?
This is my multi-month study plan for going from mobile developer (self-taught, no CS degree) to machine learning engineer.My main goal was to find an approach to studying Machine Learning that is mainly hands-on and abstracts most of the Math for the beginner. This approach is unconventional because it’s the top-down and results-first approach designed for software engineers.
Please, feel free to make any contributions you feel will make it better.
Table of Contents
- What is it?
- Why use it?
- How to use it
- Follow me
- Don’t feel you aren’t smart enough
- About Video Resources
- Prerequisite Knowledge
- The Daily Plan
- Motivation
- Machine learning overview
- Machine learning mastery
- Machine learning is fun
- Inky Machine Learning
- Machine learning: an in-depth, non-technical guide
- Stories and experiences
- Machine Learning Algorithms
- Beginner Books
- Practical Books
- Kaggle knowledge competitions
- Video Series
- MOOC
- Resources
- Becoming an Open Source Contributor
- Games
- Podcasts
- Communities
- Interview Questions
- My admired companies
To check out all this information, click here. For other articles about machine learning, click here.
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