INTERACTIVE COURSE

Beginner

67 Lessons

10h

Certificate of Completion

1 Project

170 Playgrounds

8 Challenges

9 Quizzes

152 Illustrations

Takeaway Skills

Learning the intricate concepts of linear algebra from scratch

Working knowledge of various linear algebra techniques using Python

A visual understanding of concepts such as vector space, spans, and subspace with animations

Familiarity with valuable concepts like fields, eigenspaces, diagonalization, and SVD

An understanding of how linear algebra concepts build the most useful tools in data science, such as neural networks

The ability to apply linear algebra concepts to real-world problems through coding exercises and practical projects

Course Overview

Linear algebra is a fundamental pillar of data science. In advanced models in data science, like neural networks, the inputs and transformations are based upon vectors, matrices, and tensors which require a reasonable understanding of linear algebra to get the desir...

Course Content

1

Introduction

1 Lesson

2

Linearity

11 Lessons

FunctionsFunctions in Data ScienceLinear FunctionsLinear CombinationsQuiz: Linear Functions and CombinationsChallenge: Linear Combination CheckerConvex CombinationsLinear IndependenceLinear SystemsQuiz: Convex Combinations and Linear IndependenceChallenge: Linear System Solver

3

Matrices

5 Lessons

4

Solving Linear Systems

12 Lessons

5

Singularity

7 Lessons

6

Linear Regression and Least Squares

11 Lessons

7

Vector Space

12 Lessons

8

Vector Spaces of a Matrix

5 Lessons

9

Singular Value Decomposition: SVD

3 Lessons

Learning to Find Discriminative Null Space for Face Recognition

Project

COURSE AUTHOR

How You'll Learn

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

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Built-in assessments let you test your skills. Completion certificates let you show them off.