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Yahoo Releases the Largest-ever Machine Learning Data Set for Researchers

Yahoo Inc. (NASDAQ: YHOO) announced the public release of the largest-ever machine learning dataset to the academic research community. With this release, the company aims to advance the field of large-scale machine learning and recommender systems, and to help level the playing field between industrial and academic research.

Hortonworks Sees Continued Growth Ahead

At the Hadoop Summit 2015 in San Jose last summer, I had the opportunity to sit down with Tim Hall, VP of Product Management at Hortonworks to discuss his company’s position in the Hadoop marketplace and what’s in store for the newly public company.

“Above the Trend Line” – Your Industry Rumor Central for 1/18/2016

Above the Trend Line: machine learning industry rumor central, is a new recurring feature of insideBIGDATA. In this column, we’ll present a variety of short news items such as people movements, funding news, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

NewVantage Releases 4th Annual Big Data Executive Survey 2016 Survey – Big Data has Achieved Mainstream Adoption

NewVantage Partners, a management consulting firm whose exclusive focus is the delivery of world-class expertise in Data Strategy and Big Data Execution for Fortune 1000 clients, has released the results of its 4th annual Big Data Executive Survey, entitled “An Update on the Adoption of Big Data in the Fortune 1000”.

Machine Learning Manifesto – Power to the Data!

A recent query using Google Trends shows an interesting level of interest in machine learning over time (see figure below). There was an emergence in hype around the 2005 time-frame and led to a cooling off period, but once big data started heating up around 2010, the upward swing in interest continues until today.

Book Review: The Master Algorithm

I’ve been waiting for good book that introduces the concepts of data science and machine learning for a lay audience. Then I read an announcement of a new book that seemed to fill this need. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Basic Books; September 22, 2015) by University of Washington professor Pedro Domingos. My hopes were high and for the most part I think this book represents a good introduction to the area.

Above the Trend Line – January 11, 2016

Above the Trend Line: machine learning industry rumor central, is a new recurring feature of insideBIGDATA. In this column, we’ll present a variety of short news items such as people movements, funding news, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

MapR CEO Reveals 5 Big Data Predictions for 2016

How data is stored, analyzed and processed is transforming businesses. According to MapR Technologies’ CEO and Cofounder John Schroeder, the industry is in the midst of the biggest change in enterprise computing in decades.

TOP 10 insideBIGDATA Articles for December 2015

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 articles appearing on insideBIGDATA. We use the pageview metric for ranking the pieces.

Visualization of the Week: Driving Under the Influence Statistics

It’s that time of year when everyone must be more vigilant while taking to the roads. Using Tableau Public, data author Jambesh looks at Driving Under the Influence of alcohol (DUI) trends during the holidays.