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Larsen Ch 2-7 (Ch2: Automating Machine Learning (coding is important for…

- - - - Define project objectives, Acquire and explore data, Model data, Interpret and communicate, Implement document and maintain
        
        AutoML: any machine learning system that automates the repetitive tasks required for effective machine learning
        
        ML insulates the analyst from the combined mathematical, statistical, and computer sciences that are taking place “under the hood,” so to speak
        
        not automatic but automated
        
        context specific tools (customer relations) and general platforms
        
        Data Robot
        
        1 more item...
- - - - language of business 2. actions from plan 3. bottom line impact
- - - - understand features (hospice)
        
        suggest ideas and alternates for modeling
        
        train subject matter experts to use ML
- - - - learn what associations drive which outcomes
        
        classification: predicts new category to which a case belongs
        
        regression: predict the target numeric values
        
        transform data to create datasets for prediction
- - - - decide whether to continue: risk vs reward
        
        run pilot project if data is available