krishnakumarsekar/awesome-machine-learning-deep-learning-mathematics
A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
This is a curated collection of links and resources covering the mathematical concepts essential for understanding and working with machine learning and deep learning. It brings together documents, study materials, videos, and software libraries related to topics like linear algebra, probability, and calculus. Anyone looking to build a strong theoretical foundation in AI, from students to seasoned practitioners, would find this helpful.
227 stars. No commits in the last 6 months.
Use this if you need to quickly find comprehensive learning materials for the mathematical underpinnings of machine learning and deep learning.
Not ideal if you are looking for ready-to-use code examples or practical implementation guides for machine learning algorithms without delving into the theory.
Stars
227
Forks
67
Language
—
License
—
Category
Last pushed
Aug 11, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/krishnakumarsekar/awesome-machine-learning-deep-learning-mathematics"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
tiagomonteiro0715/The-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations
A book on the mathematical foundations of AI from an engineering perspective.
jonkrohn/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
hrnbot/Basic-Mathematics-for-Machine-Learning
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you...
amitkaps/hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Visualize-ML/Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!