Machine Learning Guide and Tutorial for Software Engineers
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
Don’t feel you aren’t smart enough
About Video Resources
The Daily Plan
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
Kaggle knowledge competitions
Becoming an Open Source Contributor
My admired companies
To check out all this information, click here. For other articles about machine learning, click here.
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Link: Machine Learning Guide and Tutorial for Software Engineers