Your complete how-to guide to putting ML to work - plus code samples and notebooks
Book Description
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.
Book Details
- Title: The Big Book of Machine Learning Use Cases
- Subtitle: Your complete how-to guide to putting ML to work - plus code samples and notebooks
- Authors: Ricardo Portilla, Brenner Heintz, Denny Lee
- Publisher: Databricks
- Paperback: 78 pages
- Publication date: 2019
- License: Open Access
Book Download and Read Links
