Linear algebra

Linear-algebra

Linear algebra is a fundamental branch of mathematics that focuses on the study of vectors, vector spaces, and linear transformations. It provides essential tools for understanding and solving systems of linear equations, which are pivotal in various fields such as engineering, physics, computer science, and economics. By utilizing matrices and vectors, linear algebra enables the representation and manipulation of data in a structured manner. Its applications extend to machine learning, computer graphics, and statistics, making it a crucial area of study for anyone interested in data analysis and computational methods. Understanding linear algebra is vital for deeper insights into these domains.

An Introduction To Linear Algebra

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Linear Algebra is a branch of mathematics that lets you concisely describe coordinates and interactions of planes in higher dimensions and perform operations on them. Think of it as an extension of…

Towards Data Science

Algebra is firstly taken from a book, written by Khwarizmi(780-850 CE), which is about calculation and equations. It is a branch of mathematics in which letters are used instead of numbers. Each…

Linear Algebra

Dive intro Deep Learning Book

By now, we can load datasets into tensors and manipulate these tensors with basic mathematical operations. To start building sophisticated models, we will also need a few tools from linear algebra. Th...

A Gentle Introduction to Linear Algebra

Machine Learning Mastery

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 (

SciPy User Guide

Linear Algebra ( scipy.linalg ) When SciPy is built using the optimized ATLAS LAPACK and BLAS libraries, it has very fast linear algebra capabilities. If you dig deep enough, all of the raw LAPACK and...

Linear Algebra: Systems of Linear Equations and Matrices, with Python

Towards Data Science

Linear algebra is crucial in multiple areas of science and engineering in general. It is central to almost all areas of mathematics. For instance, equations are usually used to model real-life…

Linear Algebra Explained — Part 1

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Linear algebra is required for most fields, especially for machine learning and data science. I watched a video series called Essence of Linear Algebra and I found them very helpful to understand the…...

A bird’s eye view of linear algebra: the basics

Towards Data Science

Linear algebra is a fundamental discipline underlining anything one can do with Math. From Physics to machine learning, probability theory (ex: Markov chains), you name it. No matter what you’re doing...

Linear Algebra from Strang.

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Professor Strang’s — Introduction to Linear Algebra — is an incredible journey into the hart of Linear Algebra. Over the next few articles I aim to illuminate some of the sections in the light of…

Why “Linear Algebra” is cool ??

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Linear Algebra is to machine learning as flour to bakery: Every machine learning model is based on linear algebra, as every cake is base on flour (But ML model is not about only Linear algebra, they…

Linear Algebra In Machine Learning

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Linear algebra is a branch of mathematics that is widely used throughout science and engineering. We need to have a good understanding of linear algebra to understand working of many Machine Learning…...

Appendix: Linear Algebra

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These notes are intended to provide a “fast” collection of theoretical definitions, theorems, and concepts for Linear Algebra as a refresher only, and as an Appendix to my “A Complete Introduction to…...