Phutoast / UCL-CSML-Notes
My lecture notes during times at UCL.
☆28Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for UCL-CSML-Notes
- Cheat sheets for UCL's 2018/19 machine learning modules☆60Updated 5 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆129Updated last year
- ☆19Updated 3 years ago
- My notes from class☆58Updated 6 years ago
- Advanced LTCC course in StatisticsThis course will provide an overview of Monte Carlo methods when used for problems in Statistics. After…☆23Updated last year
- MPhil Machine Learning and Machine Intelligence @ University of Cambridge☆44Updated 5 years ago
- An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's cours…☆8Updated 10 months ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆105Updated 2 months ago
- ☆59Updated last year
- The note for data science and machine learning program☆11Updated 5 years ago
- Solutions and simulations from the Essentials of Stochastic Processes by Richard Durrett☆24Updated 2 years ago
- ☆210Updated last year
- In this repository, I place my solution for the exercises in multiple famous math textbooks, including Stochastic Differential Equation, …☆13Updated 11 months ago
- A curated list of awesome variational inference☆18Updated 4 years ago
- Notes and exercise solutions for second edition of Sutton & Barto's book☆354Updated 2 years ago
- Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.☆305Updated 2 years ago
- ☆171Updated last year
- My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller☆228Updated 5 years ago
- ☆12Updated 2 years ago
- Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.☆14Updated last year
- Statistical Modeling and Methods | PKU 2020 Spring☆55Updated 2 years ago
- ☆764Updated 7 months ago
- ☆256Updated last year
- Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book☆17Updated 3 years ago
- An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.☆21Updated 10 months ago
- Reinforcement Learning Short Course☆53Updated this week
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆110Updated last year
- Course notes☆616Updated 6 months ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆94Updated last year
- R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"☆123Updated 5 years ago