What are the challenges in building an anomaly detection system for streaming and live data?
Learn the difference between live and streaming anomaly detection systems and how to address the challenges different data velocities pose.
Insights, practical guidance, and announcements from O'Reilly
Learn the difference between live and streaming anomaly detection systems and how to address the challenges different data velocities pose.
Learn about some of the common issues you will encounter when developing algorithms for a modern anomaly detection system.
A deep dive into startup TuSimple’s use of Apache MXNet.
The O’Reilly Security Podcast: Shifting secure code responsibility to developers, building secure software quickly, and the importance of changing processes.
Exciting new genetic testing technology has improved the speed and accuracy of cancer diagnosis.
Data capture, management, and analysis builds a bridge between design, user experience, and business relevance.
Learn some of the benefits of using real-time processing of data for some use cases.
Learn to identify problems that may indicate data team dysfunction.
Learn about Figma's Frame tool — then use it to define the correct workspace for the prototype of your website, tablet app, or smart phone app.
Learn about Figma's layers area – where you control individual objects, images, and text – and avoid making overly complex Figma documents.
Learn about the four major image and object formats accepted by Figma - and three ways to import them.
6 lessons learned to get a quick start on productivity.