1. Data Types
2. Analytic Classes
   1. Transforming
      1. Processing
      2. Aggregation
      3. Enrichment
      4. 1) Describe
   2. Learning
      1. Clustering
      2. Hypothesis Testing
      3. Regression
      4. Classification
         1. CNNs
         2. RNNS/LSTMs
      5. Recommendation
      6. 2) Discover
      7. 3) Predict
   3. Predicting
      1. Logical Reasoning
      2. Optimization
         1. Reinforcement Learning
         2. GANs
      3. Simulation
      4. 4) Advise
3. Learning Models
   1. Learning Style
      1. Unsupervised
      2. Semi-Supervised
      3. Supervised
   2. Training Style
      1. Offline
      2. Reinforcement
      3. Online
4. Execution Models
   1. Scheduling
      1. Batch
      2. Streaming
   2. Sequencing
      1. Serial
      2. Parallel
5. 2015-FIeld-Guide-To-Data-Science.pdf