Core technologies and tools for AI, big data, and cloud computing
Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning.
Data science ideas and resources.
Ideas
Artificial intelligence and machine learning adoption in European enterprise
How companies in Europe are preparing for and adopting AI and ML technologies.
How companies are building sustainable AI and ML initiatives
A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts.
Rethinking informed consent
Consent is the first step toward the ethical use of data, but it's not the last.
Deep automation in machine learning
We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline.
Managing risk in machine learning
Considerations for a world where ML models are becoming mission critical.
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.