It’s been 18 months since Todd Schneider last analysed NYC Taxi and Uber trips. He’s updated his post, and the data set through December 2017 has grown to over 1.4 billion taxi trips and another 400 million for-hire vehicle trips, including ride-hailing apps Uber, Lyft, Juno, and Via. His GitHub repository has been updated to process the latest data.

An excellent essay by Mike Jordan of Berkeley on where we are with human imitative AI, and the challenges to making sensible use of data flows in our lives.

See what’s new with R Consortium funded projects in Q1 2018.

Check out the updated Microsoft Documentation of GPUs on Azure Container Service (AKS)

Microsoft Research has introduced this very cool “platform for situated intelligence” to help researchers develop systems that “bring together multiple AI technologies and interact with people in the open world”

The author has made the digital download of Introduction to Algorithmic Marketing free!! It’s a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarises various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. Some models from the book are available as Jupyter notebooks on Github.

David Smith did a talk to the Bay Area R User Group on the doAzureParallel R package. Slides here.

Check out this workshop if you’re Interested in learning how to train TensorFlow model at scale on Kubernetes on Azure.

The paper “The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities” is available here

When algorithms surprise us. “Sometimes the programmer will think the algorithm is doing really well, only to look closer and discover it’s solved an entirely different problem from the one the programmer intended.”

This repository contains notebooks with live code to accompany 100 days of algorithms challenge.

Workshops teaching scientists basic skills for retrieving, viewing, managing, and manipulating data in an open and reproducible way.

Learn R, R tutorials, R resources, blog posts and the latest updates about the statistical programming R language.

Videos have been posted for SatRday 2018 Cape Town!! Links are also in the programme.

Amazon Web Services (AWS) provide a new open data repository/platform of public data sets. Anyone can add their own data set so they it can be accessed and analyzed on AWS.

In this episode of the AI show, the materials for the LearnAI-Bootcamp for Emerging AI Developers will be shared and explained. Even my namesake is mentioned.

Link to the demos from the Azure Developer Tour 2018.