yuany-pku / 2018_math4432
This is the course-web for Math 4432, Statistical Machine Learning, Spring 2018, HKUST.
☆9Updated 6 years ago
Alternatives and similar repositories for 2018_math4432:
Users that are interested in 2018_math4432 are comparing it to the libraries listed below
- All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.☆53Updated 4 years ago
- Course notes and other public-facing content☆13Updated 9 months ago
- Contains all presentations for Deep Learning Sydney Meetup 2018 02☆18Updated 6 years ago
- STAT GR5241 Statistical Machine Learning taught by Professor Linxi Liu. Here I also include some other sources of machine learning materi…☆7Updated 5 years ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 7 years ago
- 💭 CS598 / IE534: Deep Learning in Fall 2018, University of Illinois at Urbana-ChampaignUpdated 5 years ago
- A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.☆32Updated 6 years ago
- DS-GA 1003[Spring 2019]☆11Updated 4 years ago
- DS-GA 1003: Machine Learning Course Webpage☆16Updated 2 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆43Updated 5 years ago
- Methods for designing systems that learn from data and improve with experience. Supervised learning and predictive modeling: decision tre…☆9Updated 5 years ago
- Bayesian methods in deep learning Summer School☆19Updated 7 years ago
- CS446: Machine Learning in Spring 2018, UIUC☆13Updated 5 years ago
- Proximal Asynchronous SAGA☆13Updated 7 years ago
- Variational Inference/Variational AutoEncoder + Gaussian Mixtures implementation in zhusuan☆16Updated 7 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆37Updated 4 years ago
- ☆39Updated 12 years ago
- CEVAE with VampPrior☆11Updated 6 years ago
- ☆8Updated 8 years ago
- Our solutions for KDDCup2019 as team "admin"☆14Updated 5 years ago
- machine learning☆37Updated 6 years ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆21Updated 5 years ago
- Empirical comparison of penalized linear regression in high-dimensional settings☆12Updated 5 years ago
- 蚂蚁金服-用户精确定位比赛☆12Updated 7 years ago
- 刷题的代码☆10Updated 3 years ago
- Solution to Kaggle - Web Traffic Time Series Forecasting☆35Updated 5 years ago
- ☆9Updated 3 years ago
- Implementation of an online learning algorithm to do classification under concept drift☆23Updated 7 years ago
- Software relating to relational empirical risk minimization☆17Updated 3 years ago
- DSGA-1003: Machine Learning and Computational Statistics, Spring 2018☆26Updated 2 years ago