zackmcnulty / CSE_446-Machine_Learning
Methods for designing systems that learn from data and improve with experience. Supervised learning and predictive modeling: decision trees, rule induction, nearest neighbors, Bayesian methods, neural networks, support vector machines, and model ensembles. Unsupervised learning and clustering.
☆9Updated 5 years ago
Alternatives and similar repositories for CSE_446-Machine_Learning:
Users that are interested in CSE_446-Machine_Learning are comparing it to the libraries listed below
- Course Material for my course Linear Algebra 2 (in french)☆11Updated this week
- Stanford CS246 Mining Massive Data Sets course HW☆15Updated 8 years ago
- ☆13Updated 3 years ago
- 2018 Spring Stats 131☆10Updated 6 years ago
- Reference materials of "Probability & Statistics" IPE 205 course☆22Updated 6 years ago
- DS-GA 3001.001/.002 Probabilistic time series analysis Fall 2018☆15Updated 6 years ago
- STAT GR5241 Statistical Machine Learning taught by Professor Linxi Liu. Here I also include some other sources of machine learning materi…☆8Updated 6 years ago
- Insegnamento: Coding for Data Science and Data Management, Modulo: B74-7-A (Python) 3 CFU☆19Updated 3 years ago
- Notebook with implementation and visualization of Gaussian Mixtures and the EM Algorithm☆12Updated 7 years ago
- Bayesian methods in deep learning Summer School☆19Updated 7 years ago
- Course notes and other public-facing content☆14Updated last year
- Duke Natural Language Processing Winter School 2020☆21Updated 5 years ago
- Presentations of the advanced topics in optimization☆11Updated 5 years ago
- A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.☆32Updated 6 years ago
- A curated collection of free eBooks about Python☆11Updated 7 years ago
- ☆10Updated 2 years ago
- Scripts for optimization class☆10Updated 7 years ago
- This is the course-web for Math 4432, Statistical Machine Learning, Spring 2018, HKUST.☆9Updated 6 years ago
- ☆14Updated 4 years ago
- This is a collection of computational illustrations, in MATLAB and in Python, accompanying the book "Mathematical Pictures at a Data Scie…☆11Updated 2 years ago
- ☆10Updated 4 years ago
- Coursera斯坦福大学《Social and Economic Networks: Models and Analysis》课程笔记☆33Updated 6 years ago
- DS-GA 1003: Machine Learning Course Webpage☆15Updated 2 years ago
- An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection☆11Updated 6 years ago
- ☆11Updated 8 years ago
- CS446: Machine Learning in Spring 2018, UIUC☆13Updated 5 years ago
- 💭 CS598 / IE534: Deep Learning in Fall 2018, University of Illinois at Urbana-ChampaignUpdated 6 years ago
- This is the home of the Hands on Deep Learning Tutorial of the Lecture Computational Intelligence @KIT☆16Updated last year
- Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial☆39Updated 6 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆44Updated 6 years ago