Mathematics
Teaching you the linear algebra you need for the true data science expertise of developing powerful machine learning models.
With Iliya Valchanov
Start CourseCourse Overview
Mathematics is a broad subject, but there are specific subfields that are heavily employed in data science: calculus and linear algebra – and this is what the 365 Data Science program covers. However, in order to thrive in data science, you must have all the numerical tools so you can eventually understand the most complicated of machine learning algorithms.
Skills you will gain
What You'll Learn
This course will teach you the mathematical fundamentals used in the fields of data science by covering topics of calculus and linear algebra. It also delivers the numerical tools required for applying mathematical knowledge into practice.
Curriculum
- Introduction to Linear Algebra Free13 Lesson 55 MinWelcome to the course Free What is a Matrix? Free Scalars and Vectors Free Linear Algebra and Geometry Free Setting up the Environment Free Scalars, Vectors, and Matrices as Python Arrays Free What is a Tensor? Free Adding and Subtraction Free Errors when Adding Matrices Free Transpose of a Matrix Free Dot Product Free Dot Product of Matrices Free Why is Linear Algebra Useful Free
“Mathematics is one of the core pillars of data science. In this course, I will help you build the mathematics foundation you need to understand machine and deep learning models, and tackle more complex problems later on in your data science training.”
Iliya Valchanov
Co-founder at 365 Data Science
Mathematics
With Iliya Valchanov