Machine Learning News Issue 21

Welcome to the Momenta Learning News on Machine Learning. This is issue 21, please feel free to share this post.

Machine Learning and Open Source: What You Need to Know Now by Sam Dean - Mar. 04, 2016 Comments (0) As 2016 begins, more bold predictions for the machine learning space are arriving, and there are very some promising, newly open sourced tools to know about. We've been covering these promising tools and conducting some relevant interviews with leaders in the machine learning space.

Natural Language Processing With Apache Spark - DZone Big Data This article focuses on natural language processing (text munging and machine learning) on the Apache Spark platform.

Google Touts Machine Learning, Cloud to Build Recommendation Engines A new tutorial offers developers pointers on how to implement recommendation engines using Google's cloud computing and machine learning technologies. Google released a primer of sorts for enterprises on how to use its machine learning and cloud platform technologies to build an online recommendation engine for their Websites.

Fighting food poisoning in Las Vegas with machine learning Computer science researchers from the University of Rochester have developed an app for health departments that uses natural language processing and artificial intelligence to identify likely food poisoning hot spots. Las Vegas officials recently used the app, called nEmesis, to improve the city's inspection protocols.

Xero leans on Amazon for machine learning and to try and crack China Sharemarket darling Xero will move all customers onto Amazon Web Services over the next three months, in an effort to piggy-back on the US company's giant investments in machine learning and skirt trade restrictions in China. It comes as the company announced price increases for all of its 600,000 cloud accounting software customers on Friday.

4 Carnegie Mellon spinoffs acquired by global companies in 2015 - NEXTpittsburgh Udi Hershkovitch of Safaba. Photo by Brian Cohen. Pittsburgh is on a roll. While everything from the food scene to the arts scene has captured the media spotlight, here's what the global tech world sees: Autonomous cars, machine-translated language and robotics-assisted surgical access. That and more is all coming out of Pittsburgh.

AI crossword-solving application could make machines better at understanding language Researchers have designed a web-based platform which uses artificial neural networks to answer standard crossword clues better than existing commercial products specifically designed for the task. The system, which is freely available online, could help machines understand language more effectively.

Machine Learning Needs A Human-In-The-Loop Artificial Intelligence (AI) has a problem -- it's artificial. To be fair, AI and its sister disciplines of machine learning, cognitive computing, sentiment analysis and neural networking have a problem -- they're artificially created through the power of software developers' algorithms. Computers are great at analysing tough tactical situations, but are still not as good as humans at understanding long term strategy.

Fighting Food Poisoning with Machine Learning It's happened to many of us. We eat at a restaurant with less than ideal hygiene and come down with a nasty case of food poisoning. Foodborne illness afflicts 48 million people annually in the U.S. alone; 120,000 individuals are hospitalized annually, and 3,000 die from the illness.

Beagle uses machine learning to point out red flags in contracts A lawyer by training, Cian O'Sullivan spent several years as a contract negotiator before founding Beagle in 2014. The Kitchener, Ont. startup's product uses artificial intelligence to analyze contracts and facilitates real-time collaboration and review of documents. "A friend was bidding on a construction job.