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 3 weeks 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
- Some simple demos I use in my optimization in ML course. Includes implementations of ML loss functions (Logistic Loss, SVM Loss, ..) and …☆13Updated 4 years ago
- DS-GA 1003[Spring 2019]☆11Updated 5 years ago
- 💭 CS598 / IE534: Deep Learning in Fall 2018, University of Illinois at Urbana-ChampaignUpdated 6 years ago
- ☆10Updated 4 years ago
- ☆14Updated 4 years ago
- 2018 Spring Stats 131☆10Updated 6 years ago
- Stanford CS246 Mining Massive Data Sets course HW☆15Updated 8 years ago
- Social Data Science 2019 - a summer school course☆46Updated 5 years ago
- Data Structures UIUC SP 2016☆9Updated 8 years ago
- Notebook with implementation and visualization of Gaussian Mixtures and the EM Algorithm☆12Updated 6 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
- Course notes and other public-facing content☆13Updated last year
- DS-GA 3001.001/.002 Probabilistic time series analysis Fall 2018☆15Updated 6 years ago
- ☆27Updated this week
- Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…☆14Updated 10 months ago
- A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.☆32Updated 6 years ago
- ☆16Updated 2 years ago
- Implemented degree, closeness, betweenness and eigenvector centrality in python with and without Networkx Library. Created a network grap…☆12Updated 7 years ago
- Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning☆11Updated 3 years ago
- Introduction to Machine Learning at CentraleSupelec (Fall 2017)☆9Updated 7 years ago
- ☆16Updated 2 years ago
- Reference materials of "Probability & Statistics" IPE 205 course☆22Updated 6 years ago
- Course page for KU course on text data and deep learning https://kurser.ku.dk/course/a%c3%98kk08401u/2019-2020☆9Updated 4 years ago
- ☆10Updated 2 years ago
- This is the course-web for Math 4432, Statistical Machine Learning, Spring 2018, HKUST.☆9Updated 6 years ago
- This Python package implements algorithms for multiviews (multimodals) learning☆14Updated 6 months ago
- repository for 2018 Fall Stats 131 class at UCLA☆14Updated 6 years ago
- Bandit algorithms for dynamic pricing of many products☆40Updated 5 years ago