Basics of Linear Algebra for Machine Learning PDF download

Details about Basics of Linear Algebra for Machine Learning

212 Pages – 2018 – 1.3 MB – 7857 Downloads – English

Basics of Linear Algebra for Machine Learning PDF

Basics of Linear Algebra for Machine Learning PDF free download – The field started to be formalized about 150 years ago, but it was only about 70 years ago that modern linear algebra came into existence. It’s a huge field of study that has made an impact on other areas of mathematics, such as statistics, as well as engineering and physics. Thankfully, we don’t need to know the breadth and depth of the field of linear algebra in order to improve our understanding and application of machine learning.

Before we get started, let’s make sure you are in the right place. This book is for developers that may know some applied machine learning. Maybe you know how to work through a predictive modeling problem end-to-end, or at least most of the main steps, with popular tools. The lessons in this book do assume a few things about you, such as:

  • You know your way around basic Python for programming.
  • You may know some basic NumPy for array manipulation.
  • You want to learn linear algebra to deepen your understanding and application of machine learning.

This guide was written in the top-down and results-first machine learning style that you’re used to from MachineLearningMastery.com.

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