harvard-ml-courses / cs181-textbook
☆123Updated last month
Alternatives and similar repositories for cs181-textbook:
Users that are interested in cs181-textbook are comparing it to the libraries listed below
- Collection of my assignments and work in the class MATH51 at Stanford☆93Updated 10 years ago
- ☆148Updated 3 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆269Updated 4 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆150Updated last year
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 2 years ago
- ☆61Updated 2 years ago
- Lecture Notes on Statistical Inference☆76Updated 5 months ago
- Repository for ML in Practice Course at CMU (10-718)☆59Updated last year
- ☆192Updated 2 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆175Updated 4 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆313Updated last year
- Repo for ML for Public Policy Lab course at CMU☆111Updated last year
- Exercises and solutions to Stanford CS229 Machine Learning in Python☆192Updated last year
- ☆110Updated 4 months ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆93Updated 2 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 3 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆201Updated last year
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆129Updated 7 months ago
- Representation Learning MSc course Summer Semester 2023☆75Updated last year
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆175Updated 8 months ago
- Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.☆104Updated 3 weeks ago
- ☆77Updated last year
- ☆48Updated last year
- ☆222Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆82Updated 6 years ago
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆172Updated 2 years ago
- List of Computer Science courses with video lectures.☆25Updated 3 years ago
- Statistical Inference Course☆41Updated 3 months ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆84Updated 2 years ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆91Updated 10 months ago