The Big Book of Machine Learning Use Cases

Your complete how-to guide to putting ML to work - plus code samples and notebooks



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The Big Book of Machine Learning Use Cases

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AuthorsRicardo Portilla, Brenner Heintz, Denny Lee
PublisherSelf-publishing
Published2019
Pages78
LanguageEnglish
FormatPaper book / ebook (PDF)
EBook Hardcover Paperback

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.





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