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[4:15] Tools for grooming data
[6:40] Handling large data
[8:30] Getting started with ML
[11:15] Answering Yes/No questions
[14:15] Choosing a model
[17:05] Beginner gotchas!
[19:10] Retraining a model
[22:05] Other learning sources
Show links mentioned:
- Simple ML demonstration that predicts if a flight will be late:
- ML Algorithm Cheat Sheet:
- Azure ML Guest Access, does not require an Azure subscription or a credit card. After 8 hours, it is reset:
- Microsoft Professional Program for Data Science:
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