Recent advance in machine learning has made face recognition not a difficult problem. But in the previous, researchers have made […]

# Archive | Linear Algebra

## Using Singular Value Decomposition to Build a Recommender System

Singular value decomposition is a very popular linear algebra technique to break down a matrix into the product of a […]

## A Gentle Introduction to Vector Space Models

Vector space models are to consider the relationship between data that are represented by vectors. It is popular in information […]

## Principal Component Analysis for Visualization

Principal component analysis (PCA) is an unsupervised machine learning technique. Perhaps the most popular use of principal component analysis is […]

## How to Set Axis for Rows and Columns in NumPy

NumPy arrays provide a fast and efficient way to store and manipulate data in Python. They are particularly useful for […]

## What Is Argmax in Machine Learning?

Argmax is a mathematical function that you may encounter in applied machine learning. For example, you may see “argmax” or […]

## Basics of Mathematical Notation for Machine Learning

You cannot avoid mathematical notation when reading the descriptions of machine learning methods. Often, all it takes is one term […]

## Linear Algebra for Machine Learning (7-Day Mini-Course)

Linear Algebra for Machine Learning Crash Course. Get on top of the linear algebra used in machine learning in 7 […]

## Computational Linear Algebra for Coders Review

Numerical linear algebra is concerned with the practical implications of implementing and executing matrix operations in computers with real data. […]

## Linear Algebra for Deep Learning

Linear algebra is a field of applied mathematics that is a prerequisite to reading and understanding the formal description of […]