Repository Overview
- Name: Maths-for-Artificial-Intelligence
- Owner: Mathaware (forked from Niraj-Lunavat)
- Branches: 1
- Commits: Latest on Sep 14, 2019, by @Niraj-Lunavat
- Files: Contributing.md, Readme.md
- Commit Activity: 7 commits
Repository Contents
The repository includes several resources categorized into various mathematical domains:
Thank you for reading this post, don’t forget to subscribe!- General Resources
- Learning Platforms (e.g., Khan Academy, Coursera)
- Questions and Answers (e.g., Mathematics Stack Exchange)
- Encyclopedia (e.g., Encyclopedia of Mathematics)
- Books and Blogs
- A selection of books (e.g., “Calculus: Basic Concepts for High Schools” by L.V. Tarasov)
- Blogs (e.g., BetterExplained, 3blue1brown)
- Foundational Mathematics Topics
- Set Theory, Logic, Category Theory
- Homotopy Type Theory, Surreal Numbers
- Advanced Mathematics Topics
- Number Theory, Algebra, Combinatorics
- Geometry and Topology, Analysis
- Probability and Statistics, Numerical Analysis
- Applications
- Mathematics for Computer Science, Mathematical Biology
- Mathematical Physics
Utilization for AI and Machine Learning
This repository is particularly valuable for individuals interested in understanding the mathematical underpinnings of AI and machine learning. The resources provide foundational knowledge that is crucial for developing and understanding algorithms in machine learning and AI.
Licensing and Contributions
- The content is under CC0 license, indicating that it is in the public domain.
- The repository allows contributions as indicated by the “Contributing.md” file.
Summary
“Maths-for-Artificial-Intelligence” is a valuable resource for anyone looking to deepen their understanding of the mathematics behind AI and machine learning. It provides a comprehensive set of resources, from basic concepts to advanced topics, ensuring a thorough grasp of the necessary mathematical principles in these fields.
At MathAware, were constantly looking for new challenges to attack. The recent developments in generative AI that is pretty much accessible to everyday Joe already, its hard for us to put our spinning brains on rest sometimes. Thats why we chose to team experts from different fields together and keep pulling their geniuine crazy-rare, talented little human brains.
We not only focus on current developments but aim to illustrate and teach not only mathematical aspects of AI developments in tech and society. This also includes warnings in all directions: Both censorship as well as data power feudalism are huge issues that must be addressed by the open source community to which we contribute with everything out thinktank and research team comes up with.