Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
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...

Left-hand

“Data Scientist” catches “Statistician”, surpasses “Data Miner”

 The rapidly rising term “Data Scientist” caught up with “Statistician” and surpassed “Data Miner” on Google Trends. However, Statistics remains a lot more popular than “Data Science”, which begs the question: What do Data Scientists do? Clearly, it is not Data Science. By Gregory Piatetsky, Dec 22, 2013. comments A recent blog on Flowing Data:

Data Science Wars: Python vs. R

 As I frequently travel in data science circles, I’m hearing more and more about a new kind of tech war: Python vs. R. I’ve lived through many tech wars in the past, e.g. Windows vs. Linux, iPhone...

3 Ways That Predictive Analytics Help Travel Companies Improve Planning

 While heaps of big data exist in the travel sector – from how seasonality affects bookings to the types of travel packages that receive the highest conversion rates among consumers – leveraging some of the more unstructured...

The Care and Feeding of Data Scientists

 CIOs must encourage data scientists to solve real business problems, not just play with data. As more organizations hire data scientists–especially for predictive analytics projects–IT leaders are discovering that managing people who can turn data into ideas...

How Talent Benchmarking Slashed Call Center Attrition

 Pasha Roberts will present at PAW San Francisco on this case study. A call center for a global financial firm had a problem – attrition. In order for a new employee to even be permitted to speak...

Readmissions ‘Drop Like a Rock’ with Predictive Modeling

 Predictive modeling offers the key to understanding which healthcare services most affect utilization, readmissions, and payment, and how to tackle the outliers. These analytics are within the grasp of any healthcare system. Somewhere out there, a hospital...

Army explores predicting suicides as way to prevent them

 A controversial new Army plan would predict which soldiers might kill themselves, potentially enabling military to provide mental health counseling and other services to treat troubled troops. Even as thousands of U.S. servicemembers were dying in Iraq...

Big data and predictive analytics: When is enough data enough?

 Michael Berry is taking a stand against the big data hype. More data, said the analytics director for travel website TripAdvisor, doesn’t always mean better business results. Case in point: big data and predictive analytics. “Many predictive...

Big Data, ‘Breaking Bad’ And Orange Juice

 MailChimp’s chief data scientist has a unique way of explaining data science to the masses. If you know a little Excel, you’re ready to learn. What’s the best way to teach data science to people who lack...

SEC taps analytics to predict risk

 The Securities and Exchange Commission is using predictive analytics to evaluate risks facing the brokerage industry regulated by the agency and, potentially, to pinpoint firms headed for trouble. Beginning this financial quarter, the SEC’s newly created Division...

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