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,...

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Don’t Rely on Only One Technique

 A continuation of Dr. Elder’s talk on the top ten data mining mistakes and how to avoid them. The Top Ten Mistakes are covered in chapter 20 of the Handbook of Statistical Analysis & Data Mining Applications. You can also view this talk as a PDF. (more…)

HR Should Hire ‘Scary’ Data People

 Too many people confuse reporting with analytics–and underinvest in making sure they are asking the right questions. Standard-issue reports about monthly employee turnover rates and average compensation per employee are important glances in the rearview mirror. But...

Poll Results: Text Analytics Use Shows No Significant Change

 Surprisingly, latest KDnuggets Poll did not find a significant change in Text Analytics use over the past 2 years. While 66% make some use of text analytics, only 19% use it on the majority of their projects....

Overspecialization throws data science dream teams off-balance

  Building a data science team is difficult enough, but growing one without losing the team’s effectiveness is a major challenge. Here’s why overspecialization is the wrong approach to growth. You’ve built a great data science team,...

Top 10 Data Mining Mistakes

 Dr. Elder gives his famous talk on the Top Ten Data Mining Mistakes. The Top Ten Mistakes are covered in chapter 20 of the Handbook of Statistical Analysis & Data Mining Applications. You can also view this...

3 Ways to Test the Accuracy of Your Predictive Models

 Editor’s note: This article compares measures for model performance. Note that “accuracy” is a specific such measure, but that this article uses the word “accuracy” to generically refer to measures in general. In data mining, data scientists...

Unlocking The Power of Data Science In Healthcare

 Vinod Khosla, Founder of Sun Microsystems and Khosla Ventures, recently stated that “in the next 10 years, data science and software will do more for medicine than all of the biological sciences together.” The rise of population health and...

Socializing Predictive Analytics within Your Organization

 With  the field of predictive analytics becoming a more mainstream business discipline, the end objective for many organizations is to operationalize this discipline in order to truly leverage the   full business impact. The notion of “operationalizing”  this...

Why Soft Skills Matter in Data Science

 I’d like to offer up some thoughts about what it means to practice data science in the real world, because merely knowing the math isn’t enough. Anyone who knows me well knows that I’m not the sharpest...

Predictive Analytics World Launches Full Set of Conference Videos

 Predictive Analytics Times Subscribers Now Have Online Access to Boston 2013 Conference Keynotes and Sessions Boston, MA (PRWEB) January 30, 2014 The Predictive Analytics Times has launched a suite of hosted videos from Predictive Analytics World Boston...

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