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Booz Allen & Kaggle Convene Data Scientists, Medical Community to Improve Cancer Screening using Artificial Intelligence through $1 Million Competition

Two out of every five people in the U.S. will be diagnosed with cancer during their lifetimes, according to the National Cancer Institute (NCI). The same technology behind improved voice assistants and credit card fraud detection—artificial intelligence—can help improve cancer screening and save lives. Booz Allen Hamilton (NYSE: BAH) and Kaggle announced that the third annual Data Science Bowl will inspire data scientists and medical communities around the world to use artificial intelligence to improve lung cancer screening technology.

Cross-Channel Advertising with Large-Scale Consumer Graphs

In this contributed article, Deb Ray, Chief Data Officer at VideoAmp discusses an important technique where the complexity of cross-channel targeting and measurement is solved by building a large-scale graph of consumers and their connected devices.

Survey of Available Machine Learning Frameworks

The presentation below, “Survey of Available Machine Learning Frameworks,” is provided by Brendan Herger of CapitalOne as part of the H2O World 2015 conference. Learning a new modeling framework is time consuming, and doesn’t always pay off. However, as more feature engineering and modeling frameworks become available, its difficult not to leverage their abilities.

Hewlett Packard Enterprise Enriches HPE IDOL Machine Learning Engine with Natural Language Processing

Hewlett Packard Enterprise (NYSE:HPE) announced a new release of its flagship unstructured data analytics engine, HPE IDOL, featuring advanced Natural Language Question Answering. The new version of HPE IDOL leverages advanced machine learning functionality to improve the effectiveness and contextual accuracy of human interactions with computers.

Numenta Brings Brain Theory to Machine Learning in New Paper

Numerous proposals have been offered for how intelligent machines might learn sequences of patterns, which is believed to be an essential component of any intelligent system. Researchers at Numenta Inc. have published a new study, “Continuous Online Sequence Learning with an Unsupervised Neural Network Model,” which compares their biologically-derived hierarchical temporal memory ( HTM) sequence memory to traditional machine learning algorithms.

IBM Unleashes the Power of Machine Learning with Watson-enabled Data Platform

IBM (NYSE:IBM) announced IBM Watson Data Platform to help companies gain more valuable insights from data. The platform delivers the world’s fastest data ingestion engine and cognitive-powered decision-making to data professionals, allowing them to collaborate in the IBM Cloud, with the services they prefer. IBM is also making IBM Watson Machine Learning Service available – making machine learning simple with an intuitive, self-service interface.

The Math Behind Basketball’s Wildest Moves

If basketball is of more interest to you than business intelligence, you’ll like this TED talk by Rajiv Maheswaran. If you want pithy examples of what algorithms and machine learning are, you’ll like Maheswaran’s talk even more. Algorithms are necessary to the functioning of any BI software, and machine learning has been called “the new BI.” Googling those terms is useful, but a little dull.

Pikazo: Deep Neural Network Art on Intel Architecture

In this video from the Intel HPC Developer Conference, Noah Rosenberg and Karl Stiefvater from Pikazo describe the company’s innovative Pikazo App for smartphones. “Pikazo was developed in 2015 using neural style transfer algorithms. It is a collaboration between human, machine, and our concept of art. It is a universal art machine that paints any image in the style of any other, producing sometimes-beautiful, sometimes-disturbing, always-surprising artworks. Pikazo allows novice artists to create impressive imagery via a technique known as neural style transfer.”

How to Use Isolation Forests for Anomaly Detection

In this contributed article, Alejandro Correa Bahnsen, Data Scientist at Easy Solutions examines one of the newest techniques to detect anomalies – Isolation Forests. “The method of using Isolation Forests for anomaly detection in the online fraud prevention field is still restively new. It’s no secret that detecting fraud, phishing and malware has become more challenging as cybercriminals become more sophisticated. We should be using the most advanced tools and methods to prevent current and future fraud.”

EDITED Uses Machine Learning to Help Retailers Conquer The Billion-Dollar Activewear Market

EDITED, the source of real-time data for brands and retailers, has launched the first software feature to help companies capitalize on the billion dollar activewear market.