Healthy Data
What does it mean to use data in a healthy way?
Our take on the ideas, information, and tools that make data work.
What does it mean to use data in a healthy way?
Don’t misinterpret behavioral data if you want to be fair to everyone in the household
An Introduction for Data Scientists
Tinker, Tailor, Data Science, AI.
Labeling training data is the one step in the data pipeline that has resisted automation. It’s time to change that.
The O’Reilly Data Show Podcast: Peter Bailis on data management, ML benchmarks, and building next-gen tools for analysts.
Experts explore new trends, tools, and techniques in data and machine learning.
Arun Murthy introduces the open source Cloudera Data Platform (CDP).
Jed Dougherty presents the trailer of the upcoming Data Science Pioneers documentary.
Barbara Eckman shares lessons learned from early big data mistakes and the progress her team at Comcast is making toward a big data vision.
Jonathan Foster explains why language reveals ethical challenges we couldn’t encounter with GUI-powered experiences.
Edward Jezierski discusses the ways reinforcement learning is used across Microsoft.
Cassie Kozyrkov offers actionable advice for taking advantage of machine learning, navigating the AI era, and staying safe as you innovate.
The Strata Data Awards recognize the most innovative startups, leaders, and data science projects from Strata sponsors and exhibitors.
Daniel Hernandez looks at how a unified, prescriptive information architecture can help organizations unlock the value of their data.
Alan Smith says combining visualization and sonification could take the presentation of data into the expanding universe of screenless devices and products.
The O’Reilly Data Show Podcast: Arun Kejariwal and Ira Cohen on building large-scale, real-time solutions for anomaly detection and forecasting.
James Malone introduces new Google Cloud capabilities that help data professionals build scalable and flexible applications faster.
Patrick Lucey explains methods to find play similarity using multi-agent trajectory data, as well as predicting fine-grain plays.
Rob Thomas and Tim O’Reilly discuss the hard work and mass experimentation that will lead to AI breakthroughs.
Swatee Singh looks at how the financial services industry is using AI, ML, mixed reality and other technologies.