Practical Linear Algebra for Data Science

Practical Linear Algebra for Data Science
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 313
Release :
ISBN-10 : 9781098120573
ISBN-13 : 1098120574
Rating : 4/5 (574 Downloads)

Book Synopsis Practical Linear Algebra for Data Science by : Mike X Cohen

Download or read book Practical Linear Algebra for Data Science written by Mike X Cohen and published by "O'Reilly Media, Inc.". This book was released on 2022-09-06 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms. Ideal for practitioners and students using computer technology and algorithms, this book introduces you to: The interpretations and applications of vectors and matrices Matrix arithmetic (various multiplications and transformations) Independence, rank, and inverses Important decompositions used in applied linear algebra (including LU and QR) Eigendecomposition and singular value decomposition Applications including least-squares model fitting and principal components analysis


Practical Linear Algebra for Data Science Related Books

Practical Linear Algebra for Data Science
Language: en
Pages: 313
Authors: Mike X Cohen
Categories: Computers
Type: BOOK - Published: 2022-09-06 - Publisher: "O'Reilly Media, Inc."

GET EBOOK

If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, li
Practical Linear Algebra for Data Science
Language: en
Pages: 0
Authors: Mike Cohen
Categories:
Type: BOOK - Published: 2022 - Publisher:

GET EBOOK

If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, li
Practical Linear Algebra
Language: en
Pages: 590
Authors: Gerald Farin
Categories: Mathematics
Type: BOOK - Published: 2021-10-12 - Publisher: CRC Press

GET EBOOK

Linear algebra is growing in importance. 3D entertainment, animations in movies and video games are developed using linear algebra. Animated characters are gene
Practical Statistics for Data Scientists
Language: en
Pages: 322
Authors: Peter Bruce
Categories: Computers
Type: BOOK - Published: 2017-05-10 - Publisher: "O'Reilly Media, Inc."

GET EBOOK

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics r
Coding the Matrix
Language: en
Pages: 530
Authors: Philip N. Klein
Categories: Algebras, Linear
Type: BOOK - Published: 2013-07 - Publisher:

GET EBOOK

An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Mathematical concep