Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How Generative AI Helps Predictive AI
 Originally published in Forbes, August 21, 2024 This is the...
4 Ways Machine Learning Can Perpetuate Injustice and What to Do About It
 Originally published in Built In, July 12, 2024 When ML...
The Great AI Myth: These 3 Misconceptions Fuel It
 Originally published in Forbes, July 29, 2024 The hottest thing...
Where FICO Gets Its Data for Screening Two-Thirds of All Card Transactions
 Originally published in The European Business Review, March 21,...

Left-hand

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 and methodologies to get their jobs done. The best data scientists avail themselves of the complete set of

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...

Big Data With a Personal Touch: The Convergence of Predictive Analytics and Positive Deviance

 Background Over the last few years, the triple aim has taken center stage in health care. Through more effective identification of individuals at higher risk, health care systems can become more strategic about resource allocation in order...

The Well-Rounded Data Scientist

  The work of interpreting data to help decision-makers goes back some 5,000 years to the bureaucrats and businessmen of ancient Sumer. But dealing with the astronomical size and complexity of modern data sets requires a new,...

Sports Analytics Making Line Changes in Hockey and Business

 NHL franchises are slowly embracing the ‘Moneyball’ strategy of using analytics to assist in coaching, training and player evaluation but the league has been behind the other sports for two reasons. Hockey has more of a flow...

The Right Data Can Sweeten Returns on Ad Investments

 All the data in the world won’t increase the return on your advertising expenses by itself, but some clever ideas from a San Francisco analytics conference might. In back-to-back presentations, attendees at Predictive Analytics World heard how...

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