The Ultimate guide to understanding Math for Data Science 

Grasp fundamentals with engaging illustrations so you can understand quickly the concepts. This guide is designed to help you understand probability, statistics, linear algebra, and calculus and their applications to machine learning with visual explanations.
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Understand why Math is important to do machine learning.

By downloading this free guide you will:

  • Learn with simple illustrations what are probabilities, statistics, linear algebra and calculus
  • Discover the applications of these fields in machine learning

Chapters

01

Foundations of mathematics

Presentation of some symbols used in machine learning.

02

Probabilities

Vectors and matrices explained visually.

03

Statistics

Why derivatives are important in machine learning and what is the application with gradient descent.

04

Linear algebra

Vectors and matrices explained visually.

05

Calculus

Why derivatives are important in machine learning and what is the application with gradient descent.

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Don't miss out on the opportunity to learn the fundamentals of Math for Data Science with this small guide.
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