BEAT Tutorial

Rough schedule for 3 hour tutorial:

• Introducing BEAT: ~30min
• Ecosystem walkthrough using the Iris dataset: 1hr 15min
  • Explaining the experiment and breaking it down conceptually
    • Experiment design
      • Introduce the Iris dataset
      • Introduce the problem (discriminating across the three species using just measurement samples)
      • Propose the used method: LDA
    • Breaking down this problem/solution into necessary steps
      • Getting the data
      • Preprocessing it
      • Extracting features
      • Training the machine
      • Scoring
      • Displaying results
    • Understanding how/why to split into BEAT blocks
      • The MapReduce concept -> blocks & connections
      • Synchronization & the "every block is a for-loop" thing
    • On-paper toolchain (?)
  • Databases
    • Quickly introducing Bob
    • Creating a database
  • Dataformats
    • Intro to pulling stuff from platform
    • Creating one/some manually
  • Algorithms
    • What are "algorithms" - analyzer vs normal
    • Anatomy of an algorithm file (functions)
    • More Bob intro
    • Analyzer explanation & create analyzer
  • Toolchains
    • Using algorithms to create toolchain blocks
    • Copying & cool editor stuff
    • Discussing toolchain connections & types
  • Putting it all together: Experiments
    • Explaining how experiments relate to other things
    • Creating an experiment and assigning datasets/blocks/parameters
  • Plots
    • How do plots work? Plotters & plotterparameters
    • Creation of plotters
    • Creation of plotterparameters
    • Generating plots for an experiment
  • Pushing back to the platform (?)
• More complex & practical example using AT&T eigenfaces: 30min
  • Conceptual breakdown: experiment design
    • breaking down eigenface into necessary steps
    • understanding how/why to split into BEAT blocks & highlighting reusability stuff
    • on-paper toolchain
    • toolchain
• Reusing toolchains & other components with DCT-GMM: 15min
  • designing using the above stuff
  • "wow look reusing stuff"
• Creating a new environment off of an existing one with beat.env.python: 30min
  • Intro to environments & how that all works
  • docker executor
  • showing where environments are
  • compiling/making an environment
  • changing the env & making a new one