dhdepddl / Mining-Massive-Data-SetsLinks
Stanford CS246 Mining Massive Data Sets course HW
☆15Updated 8 years ago
Alternatives and similar repositories for Mining-Massive-Data-Sets
Users that are interested in Mining-Massive-Data-Sets are comparing it to the libraries listed below
Sorting:
- Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyan…☆14Updated 5 years ago
- NYU Data Science Course DSGA-1003 Machine Learning Assignments.☆31Updated 8 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
- 🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques☆83Updated 6 years ago
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…☆35Updated 8 years ago
- This is the course taught by Prof.Jike Chong and Prof. Ian Lane from CMU☆11Updated 9 years ago
- Repository for CS282R: Robust Machine Learning at Harvard University.☆73Updated 7 years ago
- Solutions to the book "Collection of Data Science TakeHome Challenges" in Python.☆10Updated 7 years ago
- My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)☆27Updated 7 years ago
- Frequent Itemsets in Map-Reduce with Spark☆14Updated 8 years ago
- Stanford CS229 (Autumn 2017)☆368Updated 7 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆135Updated 5 years ago
- Deep learning course CE7454, 2018☆79Updated 6 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 6 years ago
- 32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)☆21Updated 7 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆149Updated 4 years ago
- Contains all presentations for Deep Learning Sydney Meetup 2018 02☆18Updated 7 years ago
- AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics☆58Updated 3 years ago
- Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial☆41Updated 6 years ago
- Ensemble learning related books, papers, videos, and toolboxes☆299Updated 5 years ago
- Course page for DS-GA 3001.001 Modeling Time Series Data☆43Updated 7 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.☆56Updated 4 years ago
- Low-Rank Matrix Factorization for Recommender Systems☆73Updated 8 years ago
- ♊ Stanford CS230 : Deep Learning☆16Updated 6 years ago
- These are some course projects for ECE 232E @ UCLA.☆11Updated 7 years ago
- Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)☆108Updated last year
- Python demos for Chris Bishop's PRML textbook, and other machine learning stuff☆23Updated 3 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago