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Machine Learning Cheat Sheet (DRAFT) by

Machine Learning concepts and uses

This is a draft cheat sheet. It is a work in progress and is not finished yet.

Machine Learning Strategies

Decision Tree
mostly used for variety of classi­fic­ation tasks
Artificial Neural Networks (ANN)
speech recogn­ition, digital signal proces­sing, face recogn­ition, object recogn­ition, character recogn­ition
Bayesian Methods
classi­fying text documents, speech processing using probab­ility of vowels, semi-v­owels, or consonants
Reinfo­rcement Learning
robot control, learning to optimise operations in factories, and learning to plan therap­eutic procedures
Inductive Logic Progra­mming (ILP)
used to create logical programs from training data set. Used in Data Mining for finding rules in huge databases
Case Based Reasoning (CBR)
case retrie­val­—re­use­—so­lution testin­g—l­earning
Genetic Algorithms (GA)
used for tuning the optimal parame­ter's setting when it is combined with other ML methods, such as Neural Network or Instan­ce-­Based Learning
Support Vector Machines (SVM)
automatic inform­ation catego­riz­ation and retrieval systems
 

Tools

WEKA
Java
YALE
Java
MLJ
Java