hongxin/csmath-2021
This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju
This is a mathematics course designed for first-year Ph.D. students in computer science and related fields. It provides an introduction to the core mathematical methods, concepts, and algorithms essential for research in these areas, covering topics like statistical learning, non-linear optimization, and partial differential equations. The course helps students develop a strong mathematical foundation for advanced studies and research.
No commits in the last 6 months.
Use this if you are a Ph.D. student in computer science or a related discipline seeking to strengthen your mathematical understanding for research.
Not ideal if you are looking for a beginner-level introduction to mathematics without prior knowledge of probability, statistics, and algorithms.
Stars
29
Forks
3
Language
—
License
MIT
Category
Last pushed
Apr 27, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/hongxin/csmath-2021"
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!