- 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)

## 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.

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