Machine Learning

Machine Learning

1. Semi-automated extraction of knowledge from data

2. Supervised Learning

   • Predictive learning
   • Classification
     • SVM / NN / Decision Tree
     • Finite set of label
   • Regression
     • Target variable is continuous
     • No emphasis on using probability to provide interpretable relationship between predictor & target
     • OLSR / MARS / Linear Regression

3. Unsupervised Learning

   • Extract structure from data
   • Clustering
     • Given a set of data points
     • each having a set of attributes
     • a similarity measure
     • Find cluster

4. Reinforcement Learning

   • sequence
   • reward
   • predict

5. Instance-based

   • Similarity measure
   • match
   • predict
   • kNN algorithm

6. Association rule

   • dependency rule
   • predict occurance of item based on other