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Overview-of-Machine-Learning

Languages, Software Libraries and Packages

Base Languages

Data Wrangling and Transformation

Cluster Computing

Cloud Computing

Modeling

ML Algorithms


Supervised


Use cases: Prediction, classification and labeling, quntification of risk and uncertinty, feedback based recommendation Examples: Sales forecasting, Vegas odds, insurance risk, credit fraud detection

Regression

Classification

Feature Importance

Supervised Dimensionality Reduction

Unsupervised


Use cases: Structure Discovery, grouping/labeling when no labels are known, implicit recommendation, improve supervised methods Examples: Youtube Recomendations, google translate

Dimensionality Reduction

Non-Parametric Classification


Other Domains that are Interestingly Different

Use cases: A/B/C... tests, maintain equalibrium or setpoint, explore/exploit optimization Examples:Website optimization, content personalization, auto pilot

Autonomus Control/Decision Theory

Reinforcement Learning


Ensembles

Kaggle Ensambling Guide

  • Voting
  • Averaging
  • Stacked ensembling/Blending

Be careful when you ensamble, "Here there be dragons."


Evaluating Accuracy

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