Machine Learning News Issue 45

Welcome to the Momenta Learning News on Machine Learning. This is issue 45, please feel free to share this post.

What humans need to learn about machine learning Artificial intelligence, machine intelligence, cognitive computing - whatever you want to call machines that are capable of understanding and acting upon their environment - is no longer solely the purview of highly credentialed lab directors and deep-thinking computer scientists.

Facebook details its company-wide machine learning platform, FBLearner Flow Facebook today is talking for the first time about FBLearner Flow, a piece of software that manages machine learning models for employees throughout the social networking company.

MarTech Landscape: What is machine learning and why should marketers care? Way back in the last century, one of the most common put-downs of computers was the accusation that they only did what they were programmed to do. Not any more. These days, it is increasingly common for marketing and many other kinds of systems to employ some variety of "machine learning," which moves away from the days when programmers dictated computers' every move.

Why machine-learning will enhance, not replace, human creativity Machines are getting smarter. And pretty soon, they'll come for us. That seems to be the story today, whether from Hollywood or in breathless articles in popular tech magazines about artificial intelligence and nanotechnology. In a world where machines can learn, once humans push the "on" button, there's no stopping our robot overlords, right?

Machine Learning Could Address Fixed-Income Liquidity Woes At this year's North American Trading Architecture Summit, panelists talked about the need for automating the order book, with machine learning helping in this regard. Anthony finds this idea very interesting.,Industry Issues & Initiatives,Trading Technologies and Strategies,Market Data & Data Analytics ,Tech,Editors letter,North American Trading Architecture Summit 2016,Machine Learning,fixed income

Don't Be Afraid of Predictive Analytics Operating in what is rated as the third-most competitive economy in the world, it's no surprise that U.S. businesses focus heavily on measurement and return on investment in most aspects of their business. One significant line item that has enjoyed sanctuary is learning and development.

How Seattle is poised to be an epicenter for machine learning and artificial intelligence - GeekWire Seattle is poised to be an epicenter for machine learning and artificial intelligence. That's one takeaway from the inaugural Machine Learning / Artificial Intelligence Summit hosted by Madrona Venture Group on Wednesday in downtown Seattle.

The future of machine learning: 5 trends to watch around algorithms, cloud, IoT, and big data - GeekWire Algorithms. Cloud. Internet of Things. Data. No one can predict the future of technology with 100 percent accuracy. But these four pillars are certainly at the forefront of innovation in the years ahead.

How Facebook's Ad Tech Helped Lead To The New Era Of Machine Learning - ARC "It cannot yet invent a new AI algorithm .... But who knows, down the road ..." In 2011, an entrepreneur named Jeff Hammerbacher summed up the dystopian malaise many people in the tech industry felt about the state of Web and mobile innovation.

Crowd-augmented cognition Crowdsourcing has brought us Wikipedia and ways to understand how HIV proteins fold. However, most tasks have proven resistant to distributed labor, at least without a central organizer. Aniket Kittur of Carnegie Mellon University has designed crowdsourcing frameworks that combine the best qualities of machine learning and human intelligence, allowing distributed groups of workers to perform complicated cognitive tasks.