Machine Learning Engineer

​

Must read books

​

Mathematics and Statistics Fundamentals:

1. Linear Algebra Done Right by Sheldon Axler
2. Introduction to Statistical Learning by James G

​

Programming Skills:

1. Python Crash Course by Eric Matthes

​

Machine Learning Concepts:

1. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron

​

Deep Learning:

1. Deep Learning by Ian Goodfellow

​

Blogs / Websites

1. Unique blog that focuses on explaining complex machine learning concepts through interactive visualizations and clear explanations.