Thursday, September 19, 2013

9 Major Tasks in Data Science

Most problems in Data Science can be grouped under these 9 broad tasks. Of course some problems can also be classified under one or more of these tasks.
  • Classification (Class probability estimation)
  • Regression (Numerical value estimation)
  • Similarity Matching (Recommendation systems)
  • Clustering 
  • Co-occurrence grouping (Market basket analysis or associative rule mining)
  • Profiling
  • Link Prediction (Graphs or networks)
  • Data Reduction (Dimensionality Reduction : PCA, SVD, Factor Analysis)
  • Casual Modeling (Cause and effect pairs or groups)
Adapted from Data Science for Business