Four short links: 1 June 2017
Slack Topics, Internet Trends, Economics as UI, and Paper Fingerprinting
Slack Topics, Internet Trends, Economics as UI, and Paper Fingerprinting
The tools of defensive computing, whether they involve mascara and face paint or random autonomous web browsing, belong to the harsh reality we've built.
Open Data, Microsploit, Misunderstanding Secure Comms, and Interactive Dialogue
World Problems, Story AI, Medical Security Horrors, and OSS Fuzz Winning
Formal Correctness, Conversational Maxims, Learn Datalog, and AlphaGo Retires
Service Availability, Data Share, Eventual Consistency Explained, and Reproducible Deep Learning
Eddie Copeland explores how the London Office of Data Analytics overcame the barriers to joining, analyzing, and acting upon public sector data at city scale.
Tom Smith explains how the UK's Office of National Statistics is using data science to create repeatable, accurate, and transferable statistical research.
Aida Mehonic explores the role artificial intelligent might play in the financial world.
Grace Huang shares lessons learned from running and interpreting machine-learning experiments.
Tim O’Reilly delves into past technological transitions, speculates on the possibilities of AI, and looks at what's keeping us from making the right choices to govern our creations.
The O’Reilly Bots Podcast: The technical and social dynamics of solving scheduling problems.
Crypto vs. Regulation, Crippling Genomic Research, There Are Bots, and Web Security
Watch highlights covering data-driven business, data engineering, machine learning, and more. From Strata Data Conference in London 2017.
Miriam Redi investigates how machine learning can detect subjective properties of images and videos, such as beauty, creativity, and sentiment.
Anthony Goldbloom shares lessons learned from top performers in the Kaggle community and explores the types of machine-learning techniques typically used.
Aurélie Pols draws a broad philosophical picture of the data ecosystem and then hones in on the right to data portability.
M. C. Srivas covers Uber's big data architecture and explores the real-time problems Uber needs to solve to make ride sharing smooth.