“Understanding Predictive Analytics”
The O’Reilly Data Show Podcast: Natalino Busa on developments in feature engineering and predictive techniques across industries.
By Ben Lorica October 13, 2016 | In this episode of the O’Reilly Data Show, O’Reilly’s online managing editor Jenn Webb speaks with Natalino Busa on the topic of predictive analytics, the challenges of feature engineering, and a new class of techniques that is enabling features to emerge from patterns within the data. They also discuss the relationship between predictive techniques and high-quality microservices, and how machine learning is being used to improve financial services.
Natalino Busa will teach an online training course, Geo-Located Data: Extracting Patterns from Mobile Data Using Scikit-Learn and Cassandra, November 1-2, 2016.
- Evolution of feature engineering
- Microservices that serve a purpose
- Applications in financial services