Division of teaching duties

[dwhitena]

The major sections of the workshop will be:

1. Introductory remarks, logistics (Daniel & Diana)
2. ML and the ML workflow:
   1. Connecting to your workshop instance (Diana)
   2. Cloning the workshop material (Diana)
   3. Starting Jupyter (Diana)
   4. Intro to ML and the ML workflow (Daniel)
3. ML with Go
   1. Gathering, Profiling, and Cleaning Data (Diana)
   2. Defining, Training, and Testing Models (Daniel)
      1. Regression
      2. Classification
      3. Clustering
   3. Bonus (TF and MachineBox) (Daniel & Diana)
4. Building full ML workflow (Lab)
   1. Introduction to the Problem/Data
   2. Exploratory Model Development
   3. Preparation of scalable data pipeline stages
   4. Deploying the data pipeline (Daniel)
   5. Managing, updating, and scaling the pipeline (Daniel)
5. Concluding remarks (Daniel & Diana)

@dicaormu which sections are you most interested in leading? I'm flexible and we can even work together on certain sections.