Create ML framework - introduction to no-code ML
summary
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
chapters (11)
- 0:00Create ML framework intro
- 3:19No-code AI importance
- 8:54Workshop overview setup
- 13:28Image classification demo
- 29:32Supervised learning basics
- 35:42ML metrics explained
- 40:53Tabular classifier guide
- 56:13Laptop price regression
- 1:08:53Playing cards classification
- 1:23:10Model preview evaluation
- 1:27:14Q&A
related talks
40mNavigating the Machine Learning Landscape for Apple Devices
34mDemystifying ML in iOS
31mPower-Up Your App With Apple’s Machine Learning Frameworks
41mAI + Machine Learning for .NET Developers
45mMobiconf 2018: Meghan Kane, Novoda
01h 03mMachine Learning for Muggles
25mGetting Started with Machine Learning in your iOS apps
47mBuilding smarter solutions without machine learning expertise
