Pinned Repositories
applied-dl
A collection of materials for a new course being taught in Spring 2019.
burnmg.github.io
CZ2006_CodeMonkey
CZ2006 project
deep-music-player
IPM-MVIP
KAURI
MapReduce-Examples
moa-with-volatility-adaptive-classifier
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
predict-drift-severity
twitter-sentient-analysis
burnmg's Repositories
burnmg/KAURI
burnmg/CZ2006_CodeMonkey
CZ2006 project
burnmg/IPM-MVIP
burnmg/MapReduce-Examples
burnmg/moa-with-volatility-adaptive-classifier
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
burnmg/twitter-sentient-analysis
burnmg/get-sum-of-100-by-using-1..9
burnmg/Longest-common-subsequence-problem-parallelly-actor-model-solution
burnmg/vfml
Very Fast Machine Learning Toolkit
burnmg/volatility-adpative-classifier-test-plotter
burnmg/weka
weka mirror with git — http://www.cs.waikato.ac.nz/ml/weka/