Machine Learning News Issue 43

Welcome to the Momenta Learning News on Machine Learning. This is issue 43, please feel free to share this post.

Building and deploying large-scale machine learning applications The O'Reilly Data Show Podcast: Danny Bickson on recommenders, data science, and applications of machine learning. Subscribe to the O'Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS.

Marketing in a Digital World: Machine Learning is Upping Innovation and Agility Svetozar Georgiev, the Senior Vice President of Application Platforms at Progress Software elicits how Machine learning is driving CMS technology's evolution, equipping marketers with the analysis and intelligence to be agile in a shifting digital world. In an ever-changing world of increasingly digital businesses, marketers need to be able to respond instantly to a multitude of factors.

Open Source Projects Are Transforming Machine Learning and AI Machine learning and artificial intelligence have quickly gained traction with the public through applications such as Apple's Siri and Microsoft's Cortana. The true promise of these disciplines, though, extends far beyond simple speech recognition performed on our smartphones.

Computers trump chemists by studying failed experiments The algorithm's success rate is higher than a human scientist, in part because it's analysing data from failed experiments, otherwise known as "dark reactions." Often, these sit in laboratory notebooks, accessible only to the scientist that conducted the original experiment.

Robot regulators could eliminate human error Through the use of sophisticated machine learning algorithms, for example, computers now work to filter out spam messages automatically from our email. Algorithms also identify us by our photos on Facebook, match us with new friends on online dating sites, and suggest movies to watch on Netflix.

Lab Failures Turn to Gold in Search for New Materials "Learn from your mistakes." It's a familiar adage but people still tend to highlight their successes and sweep their failures under the rug, as a professor at Princeton University pointed out last week when he published his "CV of Failures" ( pdf), which has since gone viral.

CSE Neuroengineer Tackles Consciousness, Neuromorphic Engineering and Machine Learning Computer scientists are not often invited to present their research at The Science of Consciousness annual conference, but University of California San Diego development engineer Stephen Deiss did just that. He spoke to the meeting in Tucson, AZ, in late April on the subject of "Romancing the Oxymoron: The 'Hardware Problem' of Machine Consciousness."

Boeing testing visual data technology that could help predict the future, and protect us HUNTSVILLE, Ala. - Boeing is the world's largest maker of airplanes, but in this competitive world the factory line for "Big Blue" can always get more efficient, and safer. "Protecting the future is all about looking at the art of the possible.

Not lost in translation: Researchers 'teach' computers to translate accurately Online translators are getting better, but there's still room for improvement. Researchers are now contributing new artificial intelligence techniques that could help accurately build full sentences. Algorithms developed by researchers at the University of Liverpool give computers a human-like touch while translating words and languages. They believe their methods are key to improving accuracy.

Using Machine Learning to Predict Out-Of-Sample Performance of Trading Algorithms - DataRobot A guest blog by Thomas Wiecki, Lead Data Scientist, Quantopian Earlier this year, we used DataRobot to test a large number of preprocessing, imputation and classifier combinations to predict out-of-sample performance. In this blog post, I'll take some time to first explain the results from a unique data set assembled from strategies run on Quantopian.