Machine Learning for Muggles
summary
Drag‑and‑drop experiments in Azure Machine Learning Studio take a 75/25 split, train linear regression on ~40 car rows and deploy a predictive web service that scores a test car at £20,900 versus an actual £23,000. A live camera posts frames every 3s to the Cognitive Services emotion API (child photo returns 58% contempt). Face and age estimates routinely miss by years. A books catalog + usage CSV builds a model and returns item and frequently‑bought‑together recommendations via the recommendations API.
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chapters (12)
- 0:00ML for non-experts
- 3:21Why ML is for everyone
- 8:21Real-world ML use cases
- 15:01Step-by-step machine learning process for developers
- 19:32Azure ML car price demo
- 33:46Simplifying ML with Cognitive Services
- 36:34Live emotion & face recognition demo
- 44:24Excel sentiment add-in demo
- 47:03Happy app group emotions
- 53:42E-commerce recommendations API
- 58:43AI for accessibility
- 1:01:40Summary
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