Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...

Industry News

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Don’t Worry, Big Data Hasn’t Jumped the Shark Yet

 It seems Big Data is currently persona non grata. In the last week, a headline in The New York Times asked “Is Big Data an Economic Big Dud?” and, based on some (perhaps mis-interpreted) sentiments in the most recent spate of Gartner Hype Cycle reports, an AllThingsD headline declared “Think Big Data Is All Hype? You’re Not

Big Data Market to Reach $46.34 Billion by 2018

 The research firm MarketsandMarkets predicts that the global big data market will show a 26 percent compound annual growth rate from 2013 to 2018. The global big data market is forecast to show a compound annual growth...

Data Mining Is a Risky Business

 In the last few weeks a vigorous discussion on the legality of the NSA’s data mining efforts in the war on terror has raged. The revelations by former NSA contractor turned whistleblower Edward Snowden have concerned American...

From Machines to Crops to Animals: Big Data Turns Traditional Farming Upside Down

 The agricultural industry has seen many changes in the past 100 years. Since the birth of the industrial agriculture in 1900, we have moved forward to the era of digital enhanced agriculture where everything that is done...

How Small Businesses Can Mine Big Data

 As buzzwords go, big data is currently one of the most powerful—and one of the most perplexing. It sounds like something only multinational conglomerates can afford. But the concept of analyzing very large amounts of data and...

What is Predictive Analytics?

 Every business has a treasure trove of data, from customer and transaction information to manufacturing and shipping statistics. The key is figuring out how to use past data to better the business’ future. One strategy is for...

Who Has The Largest Predictive Data Analytics?

 With vast amount of data that currently available, who should be able to predict the future the most? Should it be Google? Facebook? Twitter? Google claim to be able to predict the flu epidemic in the future, and other...

5 Tools Businesses Can Use for Predictive Analytics

 Consumers are creatures of habit, and the behaviors they demonstrate today will oftentimes indicate the actions they’ll take tomorrow. A number of hyperlocal vendors are helping businesses create customer profiles based on in-store activities, purchase histories, and...

Big Data, Plus Cloud: Call It ‘Weird Data,’ But in a Good Way

 We have the cloud, we have big data, we have social networks and we have mobile computing. The sum total is more than the parts; it’s amounting to a big data cloud that is surrounding and defining...

What Can Predictive Analytics do for Healthcare Reform?

 The shift from pay-for-service to pay-for-performance in healthcare means that healthcare organizations and providers must approach care delivery in a different way, moving from diagnostic care to preventive medicine. Part of the challenge of adopting a forward-looking...

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