Machine Learning using Open Source R
summary
Shows that R plus the Rattle GUI builds models with four clicks, loading sample weather data and producing a decision tree that predicts "no rain" at ~95% and "rain" at ~74% on that sample. Demonstrates random forest — 500 trees in 0.33s for higher accuracy, and explains availability of XGBoost, TensorFlow and CNTK wrappers in R. Describes an out‑of‑memory R implementation on Bitbucket and spinning up a cloud data science VM in 5 minutes that scales from tiny to large instances.
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chapters (6)
- 0:00Start
- 2:29Outline
- 4:07What is Machine Leaming. Actually?
- 13:26Ensembles as Foundation for all Learning
- 26:50Alpha Version: Rattle with MRS
- 27:11Linux Data Science Virtual Machine - Azure
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