Posts Tagged ‘deep neural networks’

Yandex Takes Its Machine Learning Smarts Into New Role as Business Services Provider

yandex-logo (1)Yandex is going beyond web search and into the enterprise. This week it announced a new venture, the Yandex Data Factory, which will apply its machine-learning products and algorithms – which power more than 70 percent of its own products and applications – to business’ Big Data issues.

Using a client’s pre-existing data, the press release notes, Yandex creates an algorithmic model, which it then applies to the client’s new data to predict what will happen next in various scenarios. “This is exactly what is happening every second on Yandex’s services when we personalize search suggestions, recommend music, recognize speech or images, or target ads,” the release notes.

The model cases for Yandex Data Factory include: churn prediction by running segmentation and micro-segmentation algorithms on the data to find patterns in customer behavior that indicate they’re heading for the exit or that possible fraud activity is underway; personalizing cross-sell and up-sell recommendations based on user profiles built upon the searches they made, links or ads they clicked, videos they watched, and other activities; using its speech-to-text technology to analyze call center or other support call speech streams and detect anomalies in interactions to drive employee interaction quality and improve skills.

It also uses history-based prediction technology and its own computer vision and image recognition technologies to enables businesses to analyze large volumes of images and videos to spot anomalies, find recurring objects or events, and other things that will help them assess conditions and assure productivity.

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Deep Neural Network Learns Language from Wikipedia

Wikipedia

San Francisco, CA (PRWEB) December 19, 2013 — Big news for big data: the makers of Ersatz (http://ersatz1.com/), a platform for building “deep neural networks” in the cloud, have fed their algorithm over 4 million Wikipedia articles, and this word cloud is what it learned: http://wordcloud.ersatz1.com.

 

The 3D word cloud combines over 25,000 words into a highly ordered network of associations. To accomplish this task, Ersatz used the patterns of the English language to learn what words go where and how they are most often presented. Read more

AlchemyAPI Improves Service Using Deep Neural Networks

While Google, Microsoft and Apple have been making significant product breakthroughs using deep neural networks (DNN), the question remains: Is using DNN a practical approach for companies that are not web giants? For some, the answer is a resounding “yes.” AlchemyAPI, a natural language processing platform, has developed the ability to train very large and deep neural networks efficiently while remaining cost effective.

“In the area of language modeling, for example, we are able to train on huge amounts of data (a hundred billion words or more) in less than 24 hours whereas in the research community, many groups are spending 4-6 weeks to train a system on fewer than a billion words,” according to Elliot Turner, AlchemyAPI Founder and CEO. Read more