# Tag Archives: Linear Algebra

## Matrix Types in Linear Algebra for Machine Learning

Last Updated on January 5, 2021 A lot of linear algebra is concerned with operations on vectors and matrices, and there are many different types of matrices. There are a few types of matrices that you may encounter again and again when getting started in

## 10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources)

Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will help you become a better data scientist We have categorized these applications into various fields – Basic Machine Learning, Dimensionality Reduction, Natural Language

## Linear Algebra for Machine Learning

Last Updated on August 15, 2020 You do not need to learn linear algebra before you get started in machine learning, but at some time you may wish to dive deeper. In fact, if there was one area of mathematics I would suggest improving before

## How to Index, Slice and Reshape NumPy Arrays for Machine Learning

Last Updated on June 13, 2020 Machine learning data is represented as arrays. In Python, data is almost universally represented as NumPy arrays. If you are new to Python, you may be confused by some of the pythonic ways of accessing data, such as negative

## A Gentle Introduction to Linear Algebra

Last Updated on August 9, 2019 What is Linear Algebra? Linear algebra is a field of mathematics that is universally agreed to be a prerequisite to a deeper understanding of machine learning. Although linear algebra is a large field with many esoteric theories and findings,

## 5 Reasons to Learn Linear Algebra for Machine Learning

Last Updated on August 9, 2019 Why Learn Linear Algebra for Machine Learning? Linear algebra is a field of mathematics that could be called the mathematics of data. It is undeniably a pillar of the field of machine learning, and many recommend it as a

## A Gentle Introduction to NumPy Arrays in Python

Last Updated on November 29, 2019 Arrays are the main data structure used in machine learning. In Python, arrays from the NumPy library, called N-dimensional arrays or the ndarray, are used as the primary data structure for representing data. In this tutorial, you will discover

## A Gentle Introduction to Vectors for Machine Learning

Last Updated on August 9, 2019 Vectors are a foundational element of linear algebra. Vectors are used throughout the field of machine learning in the description of algorithms and processes such as the target variable (y) when training an algorithm. In this tutorial, you will

## Gentle Introduction to Vector Norms in Machine Learning

Last Updated on August 9, 2019 Calculating the length or magnitude of vectors is often required either directly as a regularization method in machine learning, or as part of broader vector or matrix operations. In this tutorial, you will discover the different ways to calculate

## Introduction to Matrices and Matrix Arithmetic for Machine Learning

Last Updated on August 9, 2019 Matrices are a foundational element of linear algebra. Matrices are used throughout the field of machine learning in the description of algorithms and processes such as the input data variable (X) when training an algorithm. In this tutorial, you