Saturday, April 2, 2016

Machine Learning News Issue 28

Welcome to the Momenta Learning News on Machine Learning. This is issue 28, please feel free to share this post.

Machine Learning Nears Inflection Point - Markets Media

Although the machine-learning discipline is more than 30 years old, the nascent technology is poised for a serious growth spurt that may put puberty to shame. "As machine learning becomes more mainstream and there's more understanding of how the technology works, I thing we will see exponential growth," said Drew Warren, president and CEO of smart-data processing vendor Recognos Financial.

How one AI security system combines humans and machine learning to detect cyberthreats - TechRepublic

The risk of cyberattacks is one of the most dangerous threats facing businesses today. And while new versions of attacks are constantly being born, teams of analysts are rushing to keep up with the latest risks.

Machine Learning Can Help Kids with Autism Recognize Emotions

Gamifying this often daunting task could prove more effective than traditional methods Recognizing and responding to emotional and mental states of others is one of the frequently reported symptoms for children with autism. By turning input from Narrative Clip, a wearable camera, and Microsoft's emotion recognition software into a game, Autimood can help kids enhance their social skills in a fun and effective way.

Five Things to Watch for At This Year's Strata + Hadoop Conference

With the Strata + Hadoop World conference kicking off Monday, I would like to offer my perspective to help attendees who are at risk of being overwhelmed by all the noise and hype that are sure to follow. Last year, at Strata + Hadoop World in New York, conference goers were dazzled by Apache Spark.

How 4 Startups Are Harnessing AI In The Invisible Cyberwar

Cybersecurity startups are setting their scopes on a potential goldmine of automated systems they hope will be more effective than hiring human enterprise security teams. There is growing concern across the board that we might be losing control over cybersecurity.

Data Scientists Love Jobs, Dislike What They Do Most: Clean Data -- ADTmag

Paradoxically, data scientists love their jobs overall but dislike what they do most: cleaning and organizing data. That's one of the main takeaways from a new report by CrowdFlower Inc. on what has been called the " sexiest job of the 21st century."

Are data analytics bootcamps the next big thing?

Believe the hype: data science is here to stay. Since 2013, has been offering a full-time data science bootcamp in New York. Tailored specifically for people with some experience coding and an aptitude for math, the program expanded to San Francisco last year, where it's about to commence its second class.

Former Google Spam Fighter: Machine Learning Already In Spam Algorithms

Yesterday we reported that Google is aiming to use machine learning in spam algorithms, to better fight spam. Shortly after I wrote that, former Google spam fighter Murat Yatagan, said machine learning is already baked into the spam algorithms. Murat worked at Google for several years and many of those years specifically on search quality and spam.

Three Crucial Ways Machine Learning for Monitoring Automation Advances IT - Computer Technology Review

by Richard Whitehead The increase in complexity, along with the accelerating rate of change in IT are the two factors that make it so difficult for IT operations teams to identify issues without having deep knowledge of a particular setup.

Machine learning technique boosts lip-reading accuracy

For human lip readers, context is key in deciphering words stripped of the full nuance of their audio cues. But a technology model for lip-reading developed at the University of East Anglia in the UK has been shown to be able to interpret mouthed words with a greater degree of accuracy than human lip readers, thanks to the application of machine learning tech to classify the visual aspect of sounds.

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