@KirkDBorne: Updated 2204-page PDF Mathematics ebook: "Algebra, Topology, Differential Calculus, and Optimization Theory For Compute…
Summary
Updated 2204-page PDF mathematics ebook covering algebra, topology, differential calculus, and optimization theory for computer science and machine learning, released by Jean Gallier and Jocelyn Quaintance.
View Cached Full Text
Cached at: 06/28/26, 08:04 AM
Updated 2204-page PDF Mathematics ebook:
“Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning”
Find it here: https://t.co/HZc0LRoD7R https://t.co/6TCP2CT0K3
Books in Progress
Source: https://www.cis.upenn.edu/~jean/gbooks/geomath.html
Algebra, Topology, Differential Calculus, and Optimization Theory for Computer Science and Machine LearningJean Gallier and Jocelyn QuaintanceBook in Progress, Approx. 2192 pages (2023) — ### Terms and Conditions - By downloading these files you are agreeing to the following conditions of use: Copyright 2005 by Jean Gallier. This material may be reproduced for any educational purpose, multiple copies may be made for classes, etc. Charges, if any, for reproduced copies must be no more than enough to recover reasonable costs of reproduction. Reproduction for commercial purposes is prohibited. The cover page, which contains these terms and conditions, must be included in all distributed copies.It is not permitted to post this book for downloading in any other web location, though links to this page may be freely given.
Similar Articles
@DiracGhost: Computer scientists and mathematicians alike, will be compelled to check out this fantastic introduction to computation…
A recommendation for free class notes on computational mathematics (numerical analysis) by De Sterck and Ullrich, made publicly available by UC Davis, covering error propagation, root finding, interpolation, integration, Fourier methods, and numerical linear algebra.
@DanKornas: Stop learning ML math from random tabs. Mathematics for Machine Learning is a curated GitHub collection of books, paper…
A curated GitHub collection (Mathematics for Machine Learning) that organizes books, papers, video lectures, and math basics for learning the math behind machine learning, covering linear algebra, calculus, probability, statistics, and more.
@antoniolupetti: "Matrix Calculus for Machine Learning and Beyond" is an interesting set of free lecture notes for understanding the mat…
A set of free MIT lecture notes on matrix calculus for machine learning, combining rigorous mathematics with visual explanations.
@eigensteve: I Wrote a New Book!!! Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control Pre-Order Now (July …
Steven Brunton announces his new book 'Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control', with pre-order available and accompanying free PDF, YouTube videos, and Python code.
@itsalexzajac: An engineer built an interactive book on data structures and algorithms of 680 pages:
An engineer created an interactive 680-page book on data structures and algorithms, available online.