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2024-05-12 Immersive Math



A few words about this book.

Chapter 1: Introduction

How to navigate, notation, and a recap of some math that we think you already know.

Chapter 2: Vectors

The concept of a vector is introduced, and we learn how to add and subtract vectors, and more.

Chapter 3: The Dot Product

A powerful tool that takes two vectors and produces a scalar.

Chapter 4: The Vector Product

In three-dimensional spaces you can produce a vector from two other vectors using this tool.

Chapter 5: Gaussian Elimination

A way to solve systems of linear equations.

Chapter 6: The Matrix

Enter the matrix.

Chapter 7: Determinants

A fundamental property of square matrices.

Chapter 8: Rank

Discover the behaviour of matrices.

Chapter 9: Linear Mappings

Learn to harness the power of linearity...

Chapter 10: Eigenvalues and Eigenvectors

This chapter has a value in itself.

2023-10-30 Linear Algebra Done Right

Sheldon Axler: I am happy to announce the publication of the fourth edition of Linear Algebra Done Right as an Open Access book. The electronic version of the book is now legally free to the world at the link below.

Linear Algebra Done Right, fourth edition

2023-09-02 Slava Akhmechet - Linear Algebra for programmers, part 1

The most important thing about reading this blog post is to not get scared off by the formulas. The post may look like all the crap you normally skim over, so you may be tempted to skim over this one. Don’t! None of this is hard. Just read the post top to bottom, and I promise you every individual step and the whole thing put together will make sense.

2023-10-12 Introduction to Modern Statistics (2nd Ed)