My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
created at April 18, 2018, 7:51 p.m.
A Julia package for fitting (statistical) mixed-effects models
created at March 29, 2013, 9:24 p.m.
Distributed decision tree ensemble learning in Scala
created at Nov. 20, 2014, 6:47 p.m.
Pandas and Spark DataFrame comparison for humans and more!
created at March 23, 2018, 1:16 p.m.
A Naive Bayes machine learning implementation in Elixir.
created at July 14, 2016, 3:21 p.m.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
created at Feb. 17, 2014, 5:21 p.m.
The iOS and OS X neural network framework
created at Oct. 13, 2015, 7:42 p.m.
Interactive arts and charts plotting with Clojure(Script) and Vega-lite / Vega. Flower viewing 花見 (hanami)
created at Sept. 14, 2017, 8:53 p.m.
A parallel framework for deep learning
created at July 29, 2018, 10:09 p.m.
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
created at Sept. 9, 2016, 8:42 p.m.
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
created at March 12, 2014, 9:59 p.m.