Sentence examples for machine learning story from inspiring English sources

"The long term play is when you add this type of software onto the network, you gain network intelligence and more importantly a critical piece for IOT, as well as building a long-term neural network and machine learning story," he said.

"Specialists from our Story DNA machine learning teams collaborated with our editorial experts to find stories and writers with exceptional potential for Wattpad Next," a spokesperson said.

An example is a new personalized news bot created by TechCrunch that uses machine learning to serve up recommended stories from the site.

"Graphpipe is what's grown out of our attempt to really improve deployment stories for machine learning models, and to create an open standard around having a way of doing that to improve the space," Abrams told TechCrunch.

The Stories search is built on new tech behind the scenes that uses machine learning to identify what's happening in Stories submitted to the network's Our Story feature, and to organize it by keyword accordingly.

Keywee — a content marketing startup founded in Israel and operating in NYC that uses natural language processing, machine learning and social graphs to match stories with users — is today opening its doors for business with $9.1 million in funding from a notable group of strategic and financial investors.

Artificial intelligence specialists fed 2,000 works of fiction into a machine learning program and deduced that all stories follow six arcs.

It probably won't be that long, he half-suggests, before they can bash out 2,500 word stories on innovations in machine learning for the Observer New Review.

The machine learning system then would identify and demote future stories that featured those clickbait phrases.

This is the story Google wants to tell of machine learning: an acceleration, turning the coming year into an inflection point, the instant that machine learning became good enough to start trusting.

As advances in machine learning and big data make regular headlines, so do stories of gender gaps in pay, leadership, and presence in the scientific fields.