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Sukiyaki in French style, brick-and-mortar conversion tracking, route-based pricing, and technological productivity.
Deep recipe transfer — Many recent results have shown the ability to transfer visual patterns and styles across images. Now researchers demonstrate how neural nets can adapt recipes to the culinary styles of particular geographic regions.
Brick, mortar, and bucks — Google can now associate digital ad campaigns with in-store visits and sales by applying machine learning to its wealth of user data, including geolocation, search history, web browsing, app interactions, and now credit card transaction records.
How much for that ride? — Uber applies machine learning to route-based pricing in an effort to become more sustainable by predicting how much you’re willing to pay.
Phew, false alarm — Contrary to popular outcry about technological dislocation of labor, this think tank argues that more innovation is needed to drive productivity and, therefore, jobs.
Continue reading Intelligent Bits: 26 Continue reading "Intelligent Bits: 26 May 2017"
Service Availability, Data Share, Eventual Consistency Explained, and Reproducible Deep Learning
The Calculus of Service Availability -- A service cannot be more available than the intersection of all its critical dependencies. If your service aims to offer 99.99% availability, then all of your critical dependencies must be significantly more than 99.99% available. Internally at Google, we use the following rule of thumb: critical dependencies must offer one additional 9 relative to your service—in the example case, 99.999% availability—because any service will have several critical dependencies, as well as its own idiosyncratic problems. This is called the "rule of the extra 9."
datproject -- open source crypto—guaranteed distributed data share, designed for versioned data sets.
How Your Data is Stored -- eventual consistency VERY LUCIDLY explained. It follows the original (entertaining) paper by Leslie Lamport but spells everything out clearly for non-computer-scientists.
OpenAI Baselines -- open source Continue reading "Four short links: 26 May 2017"
How to use Apache Spark’s Resilient Distributed Dataset (RDD) API.
Continue reading Running a word count application using Spark.
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.
Continue reading Lessons from piloting the London Office of Data Analytics.
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.
Continue reading Using AI to create new jobs.
Aida Mehonic explores the role artificial intelligent might play in the financial world.
Continue reading Is finance ready for AI?.
Grace Huang shares lessons learned from running and interpreting machine-learning experiments.
Continue reading Peeking into the black box: Lessons from the front lines of machine-learning product launches.