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Larsen Chapters 2-7 (Chapter 2: Automating Machine Learning (2.4 Eight…

- - - - Context-specific tools
        
        implemented within another system or for a specific purpose
      - general-purpose
        
        splits into two types
        
        Open-Source
        
        tend to be developed by and for computer and data scientists and generally require knowledge of programming language
        
        commercial platform
        
        provided by a commercial vendor, presumably for a price
  - - - Feature engineering
      - Algorithm selection and hyper-parameter tuning
      - Model diagnostics
      - Exploratory data analysis
- - - - Is management on board with the project?
      - Can the model drivers be visualized?
      - How much value can the model produce?
      - Who will use the model?
- - - - Which customers are likely to buy a product
      - Why customers do not purchase the company’s products
      - Why customers do purchase the company’s products.
      - Why customers are dissatisfied
      - Why customers do not renew their contracts (whether satisfied or not)
      - What leads to extensive use of a product
      - Which Internet users to place an ad in front of
      - Which pages on the company website would a specific visitor benefit most from
  - - - Is the project statement presented in the language of business?
      - Does the project statement specify actions that should result from the project?
      - How could solving this problem impact the bottom line?
- - - - For each unit of analysis, there can be numerous outcomes that we might want to predict