Proposals for model vulnerability and security
Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors.
Data science ideas and resources.
Ideas
Lessons learned building natural language processing systems in health care
NLP systems in health care are hard—they require broad general and medical knowledge, must handle a large variety of inputs, and need to understand context.
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.
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.
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.