~/talk

Create ML framework - introduction to no-code ML

Talkat DSC Europe 23 · 2023-11-20..11-24· [ios, ai-assisted-development]
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slides:none on file

Builds working models in minutes using Create ML with drag‑and‑drop export to a .mlmodel and direct import into Xcode; trains a tabular classifier for shopping categories and a tabular regression for laptop prices (training MSE ~151, validation ~219), experiments with RandomForest tuning, and creates an image classifier across 53 playing‑card classes that reaches about 80% test accuracy after augmentation. Live preview demo identifies cards but hand‑pose model only hits ~68% validation. Framework is convenient but buggy, with limited hyperparameter and architecture control.

AI-written summary · about

  1. 0:00Create ML framework intro
  2. 3:19No-code AI importance
  3. 8:54Workshop overview setup
  4. 13:28Image classification demo
  5. 29:32Supervised learning basics
  6. 35:42ML metrics explained
  7. 40:53Tabular classifier guide
  8. 56:13Laptop price regression
  9. 1:08:53Playing cards classification
  10. 1:23:10Model preview evaluation
  11. 1:27:14Q&A
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