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

2015: Highs and Lows of Big Data

 2015 was a tumultuous year for Big Data, with highs continuing to dazzle us with the potential world-changing power of data and analytics. At the same time there were plenty of lows serving as ongoing warnings that much is still unknown about exactly how it will end up changing the world. So here’s a quick

Will IoT Transform Location Prediction for Labor Cost Tracking?

 The use of wireless technology for asset tracking has taken off over the last decade. Consumer retail was the first industry to adopt this technology for location services by tagging product pallets with radio frequency ID (RFID) tags....

Hadoop in Banking: Changing the Game

 The reason for Hadoop’s success in the banking and finance domain is its ability to address various issues faced by the financial industry at minimal cost and time. Despite the various benefits of Hadoop, to apply it...

Advanced Analytics Predictions for 2016

 More organizations than ever before are putting the right data on the right platform for the right reason. This new level of data efficiency greatly reduces – and, in the long run, may ultimately eliminate – the...

Talent Acquisition – Hottest New Field for Data Scientists?

 When you hear the term “data scientist,” you probably think of finance or meteorology or maybe a sports-managing savant like Jonah Hill in Moneyball. But that’s all about to change. It’s no longer just baseball recruiting or...

Spy Agency Posts Data-Mining Software to Github

 Gaffer a graph database “optimized for retrieving data on nodes of interest” developed by the notorious UK spy agency GCHQ is available for download. You can now run and improve it because they’ve posted it to Github...

Changing the Retail Sector with Big Data

 Big Data analytics is now being applied at every stage of the retail process – working out what the popular products will be by predicting trends, forecasting where the demand will be for those products, optimizing pricing...

The Ultimate Guide to Data Science Blogs

 We’ve organized data science blogs across eight different categories: Machine learning, Hadoop, R, Python, business intelligence, data visualization, statistics, and a general data science bucket. Data about their reader count comes from Feedly. This is a work...

Data Mining for Predictive Social Network Analysis

 Given this enormous volume of social media data, analysts have come to recognize Twitter as a virtual treasure trove of information for data mining, social network analysis, and information for sensing public opinion trends and groundswells of...

4 Key Thrust Areas for Predictive Analytics World – Manufacturing 2016

 As we move to year 3 of the Predictive Analytics World – Manufacturing annual conference, we are continuing to build on the momentum from the first two years. Our primary focus areas have remained more or less the...

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