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,...

Community

Detecting the Insider Threat – How to Find the Needle in a Haystack?

 How data science can help detect and prevent the insider threat In the previous posts, we have examined the insider threat from various angles and we have seen that insider threat prevention involves the information security, legal and human resources (HR) departments of an organization. In this post, we want to examine what information security

How UPS Uses Analytics to Drive Down Costs (and No, it Doesn’t Call it Big Data)

 Jack Levis will be keynoting at Predictive Analytics World conference in San Francisco Tuesday, March 31, 2015 and in Chicago June 2015. When you have an organization the size of UPS – with 99,000 vehicles and 424,000...

Storm or Spark: Choose your Real-Time Weapon

 Real-time business intelligence is going mainstream, thanks in part to the Storm and Spark open source projects. Here’s how to choose between them. The idea of real-time business intelligence has been around for a while (see the...

Why Health Care May Finally Be Ready for Big Data

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 2015 in Boston. There has been a lot of buzz about “big data” over the last few years. This is hardly surprising, given...

Can mHealth, Predictive Analytics Improve Care Coordination?

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 2015 in Boston. Providers are seeking value in mHealth, but better predictive analytics may be required to make patient-generated health data truly effective....

Tweets Tell Whether You Have A Job

 Twitter data mining could provide governments with an alternative means of measuring unemployment, researchers say. Researchers at universities in Australia, Spain, and the US, in conjunction with UNICEF, have found that Twitter posts can be mined to...

HR Ranks at the Bottom — Reasons to Adopt Metrics and Predictive Analytics

 When you survey the most frequent users of analytics and metrics in the corporate world, not surprisingly you find that HR ranks at the very bottom. Compared to finance, which is ranked No. 1, HR compares poorly...

Prescriptive versus Predictive Analytics – A Distinction without a Difference?

 Summary:  Is the addition of “Prescriptive” analytics to our nomenclature really worthwhile or are we just confusing our customers? I admit to being annoyed when this or that industry wag tries to coin a new term to...

The Single Best Predictive Modeling Technique. Seriously.

 I read two strangely similar articles last week. One was an article by Vincent Granville, entitled “The 8 worst predictive modeling techniques”. The other was an article on Forbes entitled “America’s 10 Best-Paying Jobs”. What on Earth...

Keys to avoiding pitfalls on analytical models: testing, relevancy

  Predictive modeling can lead to some pretty bad insights when done poorly, but overcoming some common issues can help users sidestep problems on predictive analytics projects. Predictive modeling can be a powerful tool to help businesses...

Page 60 of 84 1 55 56 57 58 59 60 61 62 63 64 65 84