Course

Linear Algebra For Machine Learning

In this course, you’ll learn the linear algebra concepts behind machine learning systems like neural networks and backpropagation to train deep learning neural networks.

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Part of the Data Scientist, and Machine Learning Introduction with Python paths.

4.8 (359 reviews)

7,807 learners enrolled in this course.

Intermediate friendly
3 hours
Self paced
4 lessons

“I wouldn’t be where I was without Dataquest. Be confident in what you learn with Dataquest. If you take the time to learn, you will be one of the few people in the world that can do what you do.”

Vicknesh Mano

Data Science Manager @Accenture

Linear Algebra For Machine Learning

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Course overview

Linear Algebra is a key branch of mathematics that is concerned with vectors, matrices, planes, and lines, and it helps to build blocks of machine learning algorithms.

In this course, you’ll learn how to define linear systems using linear algebra, how to represent a problem as a linear system, and how to solve linear systems by elimination.

You’ll learn how to define vectors using geometry, as well as how to perform vector operations and identify the link between linear combinations and solutions to linear systems. You’ll also learn how to perform matrix operations in NumPy, how to define the matrix inverse and transpose, and how to solve the matrix inverse in higher dimensions.

Finally, you’ll learn to identify the different solution sets to linear systems and define homogeneous and nonhomogeneous systems.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.

Key skills

Defining linear systems using linear algebra
Employing intermediate machine learning techniques

Course outline

Linear Algebra For Machine Learning [4 lessons]

Linear Systems 1h

Lesson Objectives

Represent a problem as a linear system
Solve linear systems by elimination

Vectors 1h

Lesson Objectives

Define vectors using geometry
Perform vector operations
Identify the link between linear combinations and solutions to linear systems

Matrix Algebra 1h

Lesson Objectives

Perform matrix operations in NumPy
Define the matrix inverse and transpose
Solve the matrix inverse in higher dimensions

Solution Sets 1h

Lesson Objectives

Identify the different solution sets to linear systems
Define homogenous and nonhomogenous systems

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