Machine Learning News Issue 23

Welcome to the Momenta Learning News on Machine Learning. This is issue 23, please feel free to share this post.

The Future of Machine Learning: Trends, Observations, and Forecasts - DATAVERSITY The fundamental assumption in Machine Learning is that analytical solutions can be built by studying past data models. Machine Learning supports that kind of data analysis that learns from previous data models, trends, patterns, and builds automated, algorithmic systems based on that study.

Shutterstock now uses machine learning to help you find just the right photo Shutterstock is today launching a couple of tools that will make it easy for users to find photos without having to figure out the right keywords for what they're looking for: reverse image search and visually similar search. It's pretty much exactly what it sounds like.

HPE's Haven OnDemand offers 'machine learning as a service' If 2015 was the year analytics tools became ubiquitous in enterprise software, 2016 is shaping up to do much the same for machine learning. Just last week artificial-intelligence startup Nervana launched an offering that promises "deep learning on demand," and on Thursday Hewlett Packard Enterprise released a product of its own for what it calls "machine learning as a service."

Machine learning underpins data-driven AI: Una-May O'Reilly Una-May O'Reilly is one of the keynote speakers at the two-day EmTech India 2016 event, to be held in New Delhi on 18 March Mumbai: Una-May O'Reilly, principal research scientist at Anyscale Learning For All (ALFA) group at the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory, has expertise in scalable machine learning, evolutionary algorithms, and frameworks for large-scale, automated knowledge mining, prediction and analytics.

Bloomberg uses machine learning to measure pre-trade liquidity risk Bloomberg is launching a new tool that leverages machine learning to measure dozens of factors influencing liquidity to help traders better measure their costs to liquidate different securities. The tool, called the Liquidity Assessment Tool (LQA), employs technology that has been in development for more than six years.

Predictive models cannot learn or spot monolithic events The topic of machine learning in the fraud prevention space is one which is constantly on the lips of both financial institutions and merchants looking to exploit advances in IT infrastructure and intelligent computing to protect their businesses from possible danger. However, we may find ourselves asking what really is machine learning?

Impact of Information Technology and Machine Learning on Marketing Introduction of information technology has been, by far, one of the most revolutionary incidents in the business landscape. Nearly all the industries and service sectors rely on extensively on information technology today to carry out the regular operations. From manufacturing and machinery to retail and web-based services, all depend on technology that leverages the power information in some or the other way.

How Machine Learning APIs are Being Used to Predict Startup Success That's the question they will be looking to answer-for the first time in history. If artificial intelligence has a continued track record of enhancing and advancing our decision-making skills, it presents itself as an interesting way to better determine which startups are safer to invest in.

AI is closer than we know Artificial intelligence is one of the hottest subjects these days, and recent advances in technology make AI even closer to reality than most of us can imagine. The subject really got traction when Stephen Hawking, Elon Musk and more than 1,000 AI and robotics researchers signed an open letter issuing a warning regarding the use of AI in weapons development last year.

Meet The App That Uses A Neural Network To Describe The World If you ever wanted to see how good (or not) AI and neural networks are at accurately identifying things, you should check out a new iOS app called AI Scry.