How to run a custom version of Spark on hosted Kubernetes
Learn how Spark 2.3.0+ integrates with K8s clusters on Google Cloud and Azure.
Data science ideas and resources.
Ideas
Data engineers vs. data scientists
The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity.
How companies around the world apply machine learning
Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security.
It’s time for data ethics conversations at your dinner table
In an era where fake news travels faster than the truth, our communities are at a critical juncture.
Interpreting predictive models with Skater: Unboxing model opacity
A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater.
Data governance and the death of schema on read
Comcast’s system of storing schemas and metadata enables data scientists to find, understand, and join data of interest.
Learning
Video
A lesson in prescriptive modeling
Simulate new business models and practices with open source code.
Runnable code
Probabilistic programming from scratch
Working with uncertainty in real-world data.
Video
The Offline Challenge: Delivering Mobile Apps that Always Work
Wayne Carter and Ali LeClerc show you how to build a mobile app that has a consistent user experience, both online and offline.
Runnable code
Strategies to validate your security detections
Machine learning to generate attack data and improve security analytics.
Runnable code
Repeatable sampling of data sets in BigQuery for machine learning
An efficient, fast, and repeatable selection method that works on very large data sets.
Video
Solving the right problem
Max Shron and Sasha Laundy explore tactics for need-finding and problem scoping that make it possible to put investments in data to profitable use.