Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...

Left-hand

Your Doctor Knows You’re Killing Yourself. The Data Brokers Told Her

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 6-7, 2014 in Boston. You may soon get a call from your doctor if you’ve let your gym membership lapse, made a habit of picking up candy bars at the check-out counter or begin shopping at plus-sized stores. That’s because some

When a Health Plan Knows How You Shop

 For more case studies in predictive healthcare, see Predictive Analytics World for Healthcare, October 6-7, 2014 in Boston. Koren Shadmi There may be a link between your Internet use and how often you end up in the...

Making the Case

  Load One expediter Tom Evans drives team with his wife, Tina, running a three-truck Class 8 straight truck fleet based in Mattoon, Ill. Besides their compensation for doing their jobs the right way, the Evanses are...

5 Big Data Vendors To Watch

  Big Data is often associated with big vendors—the likes of IBM, Oracle and SAP. But the industry is also full of up and comers and niche specialists that could make an impact on a market said...

What’s machine learning? It depends on who you ask

  As interest in machine learning has grown, its definition has expanded to include a panoply of techniques for automating knowledge and pattern discovery from fresh data Data scientists are professionals who use the most appropriate tools...

Why text analytics is so important in search

 Choosing the right keywords for search is the most important component of getting the results you’re looking for. Everyone knows this, but it’s easier said than done. Even with the most well thought out keywords, search results...

Making The Business Case For Predictive Talent Analytics

 A financial services powerhouse faced a 60 percent turnover rate among its 30,000 call-center reps. Leveraging predictive talent analytics, the organization reduced turnover by 30 percent and saved $5 million in the first year alone. A major...

Did Target Really Predict a Teen’s Pregnancy? The Inside Story

 We examine the origin and the facts behind this explosive story, the importance of headlines, and how unsubstantiated assumptions gain traction and mainstream attention and help create myths around Predictive Analytics. “How Target Figured Out A Teen...

It’s Already Time to Kill the “Data Scientist” Title

 What does it mean today to say your are—or want to be, or want to hire—a “data scientist?” Not much, unfortunately. The job title has almost as much ambiguity as the term “Big Data.” If you really...

Q&A with Data and Analytics Expert Dean Abbott

 Data scientist Dean Abbott has been focusing on data mining and predictive analytics for more than 25 years, and has authored and co-authored several books including “Applied Predictive Analytics,” “IBM SPSS Modeler Cookbook” and contributed a biographical...

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