ppaquay / Learning-from-Data-SolutionsLinks
Repository of my solutions to the problems of "Learning from Data"
☆278Updated 5 years ago
Alternatives and similar repositories for Learning-from-Data-Solutions
Users that are interested in Learning-from-Data-Solutions are comparing it to the libraries listed below
Sorting:
- Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-T…☆252Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆287Updated 6 years ago
- ☆240Updated 3 years ago
- Machine learning course materials.☆578Updated 2 years ago
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆91Updated 6 years ago
- Collection of my assignments and work in the class MATH51 at Stanford☆108Updated 11 years ago
- ☆208Updated 3 years ago
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 6 years ago
- My solutions to Kevin Murphy Machine Learning Book☆541Updated 5 years ago
- My Own Solution Manual of PRML☆1,003Updated 4 years ago
- ☆217Updated 7 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆181Updated 4 years ago
- In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.☆223Updated 4 years ago
- ☆67Updated 2 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
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆153Updated last year
- 🍟 Stanford CS229: Machine Learning☆26Updated 7 years ago
- Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020☆125Updated 3 years ago
- Solutions to "Machine Learning: A Probabilistic Perspective"☆164Updated 4 years ago
- My solutions for Algorithms by Dasgupta, Papadimitriou, and Vazirani☆200Updated 5 years ago
- 🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques☆83Updated 6 years ago
- DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)☆48Updated 2 years ago
- Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition☆384Updated 3 years ago
- ☆84Updated 4 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆294Updated 7 years ago
- ☆286Updated 3 years ago
- EPFL Course - Optimization for Machine Learning - CS-439☆1,363Updated 6 months ago
- Caltech Machine Learning course notes and homework. Implements from scratch algorithms like SVM, neural networks, backpropagation, percep…☆48Updated 6 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago