ML.NET for developers without any AI experience
summary
Shows how a .NET team uses ML.NET plus Azure Cognitive Services to ship real features: a Chrome extension Should I Send It? that runs sentiment locally by loading an exported model ZIP (replacing an Azure call) and that raised agent sentiment reporting by ~20% after rollout; a Voice Bank flow that collects ~2,000 scripted sentences to synthesize a usable personal TTS voice; demos a profanity classifier (~72% accuracy on tiny data), a sarcasm model (~89% accuracy on 29k lines), and a taxi fare regressor that’s typically within ~$1.
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chapters (14)
- 0:00Intro
- 1:16Rap video
- 2:40Github Search Experiments
- 6:20Lee Mallon
- 10:08Should I Send
- 11:41Audience Participation
- 13:21Voicebank
- 17:23Use Case
- 22:47ML
- 24:48Example
- 30:39Quickdraw
- 32:18Sample
- 34:32Data Gathering
- 38:02Addin
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