ML with real impact driven by OS technologies
summary
Introduces an open-source stack—Apache Spark, Delta Lake, MLlib and MLflow—and demonstrates how to use these technologies to build interpretable, practical machine-learning solutions that address real-life problems. Includes a live-coding walkthrough showing how to start a project with that stack and examples drawn from the speakers’ project experiences.
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chapters (9)
- 0:00Start
- 3:48How many of you
- 5:29Shelf Inspector
- 7:14Beer Inspector
- 11:06Parking in Prague
- 12:16Parking lot occupancy prediction
- 21:04Supervised machine learning
- 22:17Data science workflow
- 24:05Data preprocessing
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