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,...

Left-hand

Solving Big Problems with Big Data

  Big data initiatives can solve some of the most vexing issues in health care. Big data generates a mixture of great promise, fantastic and delusional claims, impressive misunderstanding, and several early examples that are beginning to shape our understanding of it. The Internet, open systems and mobile technologies are other, earlier examples of this

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...

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...

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...

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...

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...

Insurers still struggle with predictive analytics: Study

 Majority of the insurers cite lack of IT resources as their biggest challenge in implementing anti-fraud technology. Predictive Analytics World for Business, March 29 – April 2, 2015 in San Francisco, will include five (5) sessions on...

Rock Health: How Predictive Analytics Impacts Patient Care

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 2015 in Boston. As data sources and technology advance, algorithms will be able to deliver better, personalized care. Though personalized medicine has yet...

Can Big Data Tell Us What Clinical Trials Don’t?

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 2015 in Boston. When a helicopter rushed a 13-year-old girl showing symptoms suggestive of kidney failure to Stanford’s Packard Children’s Hospital, Jennifer Frankovich...

Predictive Analytics will Revolutionize Healthcare

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 2015 in Boston. This past week I attended the Predictive Analytics World Healthcare Conference in Boston.  This was the first healthcare focused event...

Page 42 of 48 1 37 38 39 40 41 42 43 44 45 46 47 48