Your complete how-to guide to putting machine learning to work — plus use cases, code samples and notebooks
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:
- Improve on-shelf availability with out of stock modeling
- Make real-time decisions in professional sports using quantitative modeling
- 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