This is a detailed introduction to the field of pattern recognition and machine learning. At the end of each chapter, there are exercises designed to better explain each concept to the reader.

This one contains hard core math. It is full of abuse of linear algebra and calc 3.

It teaches you how the algorithms work under the hood.

Most of the math you will ever need are contanied in these books whether you are into physics, engineering or ML.

Linear algebra done right by Axler

Another alternative to the books above. It is short and concise but has a steeper learning curve.

🔰 Complete Machine Learning and Data Science 2021

⏱43 Hours 📦 371 Lessons

Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!