ppaquay / Learning-from-Data-SolutionsLinks
Repository of my solutions to the problems of "Learning from Data"
☆275Updated 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…☆244Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- ☆198Updated 3 years ago
- My Own Solution Manual of PRML☆997Updated 4 years ago
- Machine learning course materials.☆574Updated last year
- Caltech Machine Learning course notes and homework. Implements from scratch algorithms like SVM, neural networks, backpropagation, percep …☆47Updated 6 years ago
- ☆235Updated 2 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆283Updated 6 years ago
- Implementation of basic mathematical pattern recognition/machine learning techniques for fun☆132Updated 2 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆293Updated 7 years ago
- My solutions to Kevin Murphy Machine Learning Book☆541Updated 5 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆294Updated 2 years ago
- Course notes☆719Updated last year
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆90Updated 6 years ago
- Solutions to CS224n: Natural Language Processing with Deep Learning assignments.☆70Updated last year
- 🍟 Stanford CS229: Machine Learning☆25Updated 6 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆289Updated 4 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆88Updated 6 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆901Updated 4 years ago
- Collection of my assignments and work in the class MATH51 at Stanford☆99Updated 10 years ago
- Class notes for CS 131.☆797Updated 3 years ago
- Solutions to "Machine Learning: A Probabilistic Perspective"☆162Updated 4 years ago
- Google Cloud tutorial and setup☆495Updated 4 years ago
- Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020☆123Updated 2 years ago
- ☆110Updated 7 years ago
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 6 years ago
- CS229 Solution (summer 2019, 2020).☆17Updated last year
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆139Updated last year
- ☆214Updated 7 years ago
- ☆83Updated 4 years ago