Monday, February 15, 2016

Machine Learning News Issue 10

Welcome to the Momenta Learning News on Machine Learning. This is issue 10, please feel free to share this post.

Funding Daily: Machine learning startup DataRobot takes in $33 million

Boston-based DataRobot took in a $33 million investment led by New Enterprises Associates, the startup announced today. The machine learning company says that with its existing offices in Asia, Europe, and the U.S., the investment will help fuel global sales and business development. Accomplice, Intel Capital, and IA Ventures also joined the round.

The Most Unresolved Problem In Machine Learning

These questions originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights. Answers by Kevin Murphy, Research Scientist at Google, former Professor at UBC, on Quora. Q: What is the most important unresolved problem in machine learning? A: Unsupervised learning.

Gorgias Uses Machine Learning To Suggest Customer Support Answers

Meet Gorgias, an artifial intelligence-powered help desk to make you much more efficient when it comes to answering customer support requests. The company just raised $1.5 million from Charles River Ventures, Amplify Partners and Kima Ventures. Gorgias lets you make educated decisions without having to switch between multiple tools.

Automation and machine learning will upend insurance, says McKinsey

Digital expertise will become increasingly critical in the insurance sector as digitization and machine learning leads to more highly 'automatable' insurance according to management consultants McKinsey & Company.

Is the road to machine learning paved with API providers?

When it comes to machine learning, the future is already here, but it's not yet evenly distributed. Taking advantage of breakthroughs in the field can require a lot of work, which is tough for small companies and those without a whole team to build custom applications and algorithms. According to Okta CEO Todd McKinnon, there's a lot of hype around the potential of machine learning, but companies aren't actually taking advantage of it.

3 Flavors of Machine Learning: Who, What & Where

To get beyond the jargon of ML, you have to consider who (or what) performs the actual work of detecting advanced attacks: vendor, product or end-user. The great promise machine learning holds for the security industry is its ability to detect advanced and unknown attacks -- particularly those leading to data breaches.

FocusMotion Releases Creator, Automated Human Movement Machine Learning Tool for Developers - insideBIGDATA

FocusMotion, a motion recognition algorithm company dedicated to improving health through tracking and translating human movement, today announced Creator, the first machine learning tool that allows developers to teach the FocusMotion algorithm new movements.

The Search Party taps machine learning to spot variations in 15 million resumes

Online recruitment marketplace, The Search Party, is using machine learning algorithms to scan 15 million candidate resumes to ensure it provides the right candidates to employers. Speaking at the Chief Data Officer Forum in Sydney, head of data science, Dylan Hogg, discussed the use of a custom clustering algorithm and deep neural network to spot variations in resumes belonging to the same person and job titles.

Big Data Makes for Exceptional Machine Learning

As a new year kicks off, the words "big data" continue to be spoken in multiple industries all over the world. 2015 was a tremendous year for big data analytics as more businesses and organizations than ever before adopted data science in order to grasp some of the benefits it provides.

Counterfeit-spotting truth machine launches out of Dumbo - Technical.ly Brooklyn

When you're buying something expensive, you want it, first and foremost, to be real. "Trust is really the problem we're solving," Vidyuth Srinivasan said. He's the cofounder and CEO of , a Dumbo company attempting to rid the world of fugazis using the power of machine learning.

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