The folks at Google have devised AI capable of predicting which machine learning models will produce the best results. In a newly published paper (“Off-Policy Evaluation via Off-Policy Classification“)
You can now VLOOKUP the SUMPRODUCT of the Times’ training efforts. It’s SORT of a TREND; even AVERAGE journalists can CONVERT data skills TO_DOLLARS. “Should journalists learn to code?” is an old question
Apache Kafka is a fascinating product that solves a problem that almost nobody has. If the Internet is a series of tubes (RIP Ted Stevens), Apache Kafka is the pipe that connects high-volume applications
Google today introduced TensorFlow.Text, a library for preprocessing language models with TensorFlow. The open source machine learning framework created by the Google Brain team has seen more than 41 downloads.
Deploying AI-imbued apps and services isn’t as challenging as it used to be, thanks to offerings like IBM’s Watson Studio (previously Data Science Experience). Watson Studio, which debuted in 2017 after
How Artificial Intelligence and Machine Learning Are Revolutionizing Logistics, Supply Chain and Transportation
The potential of AI and Machine learning is not only enhancing everyday business activities and strategies but also is streamlining the logistics on a global scale You're reading Entrepreneur India, an
SAN JOSE, Calif. – At the pop-up Swift Strike Bowl, players stand over a circle with an iPad in their hands, await an animated bowling ball to appear on the screen and then push the tablet forward to the
Do tensor networks ring a bell? They’re mathematical constructs increasingly used in machine learning to perform complex calculations, but a number of barriers stand in the way of their widespread adoption.
Two of the greatest obstacles to getting started with today’s deep learning systems have been the lack of truly “point and click” interfaces to creating new models and the immense complexities in scaling