yashsavani/Advanced-Foundations-of-ML
A curated list of references to help you get up to speed with the concepts and techniques needed to become a successful ML researcher.
This is a curated list of resources to help machine learning practitioners deepen their theoretical and applied understanding. It provides a structured path through advanced concepts, offering a 'what to learn' checklist and references for further study. It's for researchers, advanced students, or experienced practitioners who want to move beyond basic ML knowledge.
No commits in the last 6 months.
Use this if you have some machine learning experience and are struggling to understand advanced research papers or feel you lack foundational knowledge to innovate in the field.
Not ideal if you are brand new to machine learning and are looking for an introductory course; start with a basic ML class first.
Stars
15
Forks
1
Language
Makefile
License
MIT
Category
Last pushed
Jan 20, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/yashsavani/Advanced-Foundations-of-ML"
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！