zarak / ml-roadmapLinks
Collection of resources for self-studying mathematics and machine learning.
☆55Updated 4 years ago
Alternatives and similar repositories for ml-roadmap
Users that are interested in ml-roadmap are comparing it to the libraries listed below
Sorting:
- A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learn…☆225Updated 8 years ago
- List of some awesome university courses for Machine Learning! Feel free to contribute!☆138Updated 5 years ago
- List of Science courses with video lectures☆614Updated last month
- Info on resources for studying math, stats, CS, etc.☆217Updated 2 years ago
- moved to https://github.com/desicochrane/datasci☆213Updated 3 years ago
- "One person's data is another person's noise." ― K.C. Cole☆144Updated 6 years ago
- Jupyter notebooks with exercises for the No bullshit guide to linear algebra.☆244Updated 2 months ago
- An advanced program in Machine Learning and Deep Learning☆106Updated 5 years ago
- A living collection of deep learning problems☆37Updated 9 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆297Updated 5 years ago
- Keith Devlin's Introduction to Mathematical Thinking course on Coursera (2017 Spring)☆120Updated last year
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆55Updated last year
- This is the companion curriculum to my guide to becoming a data scientist.☆403Updated last year
- Comprehensive list of machine learning videos☆38Updated 7 years ago
- Machine Learning & Deep Learning Roadmap☆127Updated 3 years ago
- This is the study plan for Data Structure & Algorithms .☆46Updated 5 years ago
- ☆167Updated 5 years ago
- A list of awesome resources I used to study Calculus.☆93Updated 4 years ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆75Updated 6 years ago
- Complete path for a beginner to become a Machine Learning Scientist!☆342Updated 7 years ago
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆568Updated 2 years ago
- This repository is for publishing my problem sets and tracking my progress through the junior and senior year courses of the MIT Computer…☆77Updated 10 years ago
- .pdf Format Books for Machine and Deep Learning☆255Updated 7 years ago
- "An equation for me has no meaning, unless it expresses a thought of God."― Srinivasa Ramanujan☆86Updated 5 years ago
- Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.☆109Updated 2 years ago
- FREE ML Courses from Top Universities☆254Updated 4 months ago
- Notes on mathematical topics that pertain to machine learning☆112Updated 4 years ago
- VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers☆257Updated 5 years ago
- Awesome Research Papers☆326Updated 5 years ago
- Self-study plan to achieve mastery in data science☆28Updated 2 years ago