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online-machine-learning
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Aug 12, 2020
Codes and Data for Reproducing the Results of "Privacy-Preserving Bandits"
machine-learning
reinforcement-learning
recommender-system
recommendation
bandit-learning
differential-privacy
contextual-bandits
bandit-algorithm
federated-learning
bandit-algorithms
privacy-preserving-machine-learning
online-machine-learning
criteo-dataset
differentially-private
privacy-preserving-bandits
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Nov 13, 2020 - Jupyter Notebook
Extension that performs streaming machine learning on event streams
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Dec 5, 2019 - Java
Distributed High Scale Online Machine Learning via Apache Flink
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Jun 11, 2020 - Scala
Common metrics for evaluation of machine learning models
golang
machine-learning
ml
regression
classification
kappa
confusion-matrix
logloss
r2
online-machine-learning
matthews
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Nov 29, 2018 - Go
FTRL Approach to Financial Portfolio Risk Management
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May 1, 2019 - Python
Hierarchical Distributed Stream Miner: A Distributed Data Mining Approach to Classifying Heterogeneous Data Streams
machine-learning
data-mining
distributed-machine-learning
data-stream-mining
online-machine-learning
distributed-data-mining
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Dec 21, 2018 - Jupyter Notebook
ATL original implementation on Matlab
machine-learning
paper
acm
transfer-learning
cikm
evolving-neural-networks
online-machine-learning
evolving-data-streams
cikm2019
streaming-processes
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Feb 19, 2020 - MATLAB
Online Machine Learning Exercises
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Oct 26, 2020 - Jupyter Notebook
Online learning algorithms
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Jun 18, 2018 - Python
A C++ simulation for Distributed Online Machine Learning algorithms.
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Dec 6, 2019 - Jupyter Notebook
ATL code converted to Python 3
python
machine-learning
paper
pytorch
acm
transfer-learning
cikm
evolving-neural-networks
online-machine-learning
evolving-data-streams
cikm2019
streaming-processes
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Feb 19, 2020 - Python
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As anyone who reads this might, there's classification and regression. There's a special case of regression that some people call "ordinal regression". This involves predicting a number (regression, duh), but on an ordinal discrete scale. For instance, in the IMdB dataset, the goal is to predict a rating that is in {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}. In other words, ordinal regression is a mix of