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, however, there are 2 specific subfields that are heavily employed in data science – calculus and linear algebra. This is precisely what the 365 Data Science program covers! In order to thrive in the data science field, you must first have all the numerical tools that will help you understand even the most complicated 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 Algebra12 Lessons 51 Min
In this section, we will discuss the basics of linear algebra – scalars, vectors, matrices, and tensors.
Welcome to the course 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? Adding and Subtraction Errors when Adding Matrices Transpose of a Matrix Dot Product Dot Product of Matrices Why is Linear Algebra Useful
“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