niuers / Learning-From-Data-A-Short-CourseLinks
Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin
☆252Updated 3 years ago
Alternatives and similar repositories for Learning-From-Data-A-Short-Course
Users that are interested in Learning-From-Data-A-Short-Course are comparing it to the libraries listed below
Sorting:
- Repository of my solutions to the problems of "Learning from Data"☆277Updated 5 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆310Updated 3 years ago
- ☆287Updated 3 years ago
- ☆69Updated 2 years ago
- NYU Course Notes & Resources☆255Updated last year
- Self-study on Larry Wasserman's "All of Statistics"☆1,204Updated 3 years ago
- ☆128Updated 2 years ago
- ☆242Updated 3 years ago
- Solutions to Linear Algebra Done Right, by Sheldon Axler.☆394Updated 8 months ago
- ☆84Updated 5 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆271Updated 4 years ago
- EPFL Course - Optimization for Machine Learning - CS-439☆1,377Updated 7 months ago
- Implementation of basic mathematical pattern recognition/machine learning techniques for fun☆136Updated 3 years ago
- Graduate course on Machine Learning☆129Updated 6 years ago
- This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Sp…☆178Updated 4 years ago
- ☆211Updated 3 years ago
- CS229 Solution (summer 2019, 2020).☆18Updated 2 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆300Updated 5 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆92Updated 7 years ago
- Additional exercises and data for EE364a. No solutions; for public consumption.☆860Updated 7 months ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆908Updated 4 years ago
- Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)☆176Updated 3 years ago
- Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997☆95Updated last year
- Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2…☆269Updated last year
- Unofficial solutions to Understanding Analysis by Stephen Abbott (1st Edition)☆126Updated last year
- My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Comput…☆133Updated 4 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆200Updated 2 years ago
- A collection of awesome mathematics and computer science courses☆139Updated last year
- This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.☆438Updated 9 months ago
- Collection of my assignments and work in the class MATH51 at Stanford☆110Updated 11 years ago