Friday, February 19, 2016

Machine Learning News Issue 12

Welcome to the Momenta Learning News on Machine Learning. This is issue 12, please feel free to share this post.

Learning machines needed to unpack scholarly tome

The Master Algorithm deals largely with concepts embracing intellectual practices identified by a handful of mathematically inclined intellectuals. They yearn for scholarly developments calculated from hard-nosed numbers.

Data Science Isn't Just For Data Scientists

Today we see that data science isn't just for data scientists. At least that's the trend we are seeing radiate upwards from our increasing business-centric approach to the Internet of Things, big data analytics and machine learning. The new data-aware boardroom sees even CEOs and CFOs asking the IT function about 'data health'.

Why machine learning is not the silver-bullet solution to online fraud

"No battleplan ever survives contact with the enemy," is one of history's most telling statements on military strategy. It's also the philosophy that data scientists, fighting an increasingly sophisticated class of fraudsters, must live by. We're in the midst of an escalating battle against online fraud.

Why Your Search Engine Resisted The Best Technology For So Long

These questions originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights. Answers by Thorsten Joachims, Professor at Cornell University working on Machine Learning from Human Behavior, on Quora. Q: What are the most interesting applications of ML to education today?

Google makes TensorFlow Serving open source, eases machine learning into production

News: The system is available on GitHub under the Apache 2.0 license.

Machine learning can help prevent repeat domestic violence offenses

Richard Berk, a professor of criminology and statistics in the School of Arts & Sciences and the Wharton School, and Susan B.

Machine Learning Converts Big Data from Cost Center to Profit Center - insideBIGDATA

discusses how data growth lays the foundation for machine learning to power intelligent applications that adapt to your needs and squeeze insight, revenue and value from data. In this special guest feature, Rebecca Scully, marketing manager at Dato Rebecca is marketing manager at Dato.

Human Error vs. Machine Learning

That humans habitually make errors is undeniable and if you ever had to 'Ctrl+Alt+Del' to address a frozen Windows application, you will know that computers sometimes do too. There are some key differences in the way that computers and humans make errors and how each has certain strengths, especially regarding cybersecurity.

sense camera runs localized machine-learning silk labs platform to link home devices

sense camera runs localized machine-learning silk labs platform to link home devices founded in 2015 by former CTO of mozilla andreas gal with chris jones and michael vines, silk labs focuses on creating thoughtful experiences with connected devices by enabling them to understand, respond to, and adapt to our daily human needs.

Satellite image analysis scales with deep learning, crowdsourcing -- GCN

One of the few remaining things humans can still do better than machines is recognize patterns in images. Unfortunately, humans aren't very fast at processing massive amounts of imagery. DigitalGlobe, a provider of high-resolution Earth imagery and analytics, processes 4 million square kilometers of satellite imagery every day.

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