The Big Book of Machine Learning Use Cases
Your complete how-to guide to putting ML to work - plus code samples and notebooks
| eBook | Free |
| Rating |  |
| Authors | Ricardo Portilla, Brenner Heintz, Denny Lee |
| Publisher | Self-publishing |
| Published | 2019 |
| Pages | 78 |
| Language | English |
| Format | Paper book / ebook (PDF) |
The world of machine learning is evolving so quickly that it's challenging to find real-life use cases that are relevant to your day-to-day work.
That's why we've created this comprehensive guide you can start using right away. Get everything you need - use cases, code samples and notebooks - so you can start putting the Databricks Lakehouse Platform to work today.
Plus, you'll get case studies from leading companies like Comcast, Regeneron and Nationwide.
Learn how to:
- Use dynamic time warping and MLflow to detect sales trends series;
- Perform multivariate time series forecasting with recurrent neural networks;
- Access new product capabilities with demos;
- Detect financial fraud at scale with decision trees and MLflow on Databricks.
- Ricardo Portilla
- Brenner Heintz
- Denny Lee
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