Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...

Original Content

The Harvard Business Review Video Interview: Eric Siegel on Predictive Analytics

 Originally published by Harvard Business Review If the video is not showing, click here to view linked to:  https://hbr.org/webinar/2017/09/putting-predictive-analytics-to-work Prediction is reinventing industries and changing our worlds. Companies, governments, law enforcement agencies, hospitals, and universities are using the power of big data and analytics to predict whether we’re going to “click, buy, lie, or die.” Today,

New-Age Machine Learning Algorithms in Retail Lending

 Originally published in KDNuggets.com             More than a decade back while joining a large US Credit Card company, it was surprising to see that Predictive Analytics was limited to multivariate regression and...

Machine Learning Tip: Nested Cross Validation – When (Simple) Cross Validation Isn’t Enough

 Several scientific disciplines have been rocked by a crisis of reproducibility in recent years . Not long ago, Bayer researchers found that they were only able to replicate 25% of the important pharmaceutical papers they examined , and an...

Wise Practitioner – Predictive Analytics Interview Series: Anna Kondic at Merck

 In anticipation of her upcoming conference presentation at Predictive Analytics World for Healthcare New York, October 29 – Nov 2, 2017, we asked Anna Kondic, Executive Director, Predictive Economic Modeling at Merck, a few questions about incorporating predictive...

Automation and Its Impact on Predictive Analytics – The Increasing Importance of the Hybrid-Part 3

 In my last article, I discussed the increasing impact of automation and its actual impact in creating the analytical file. As any data scientist knows, this component or stage of the data science process can typically represent...

Ten Things Everyone Should Know About Machine Learning

 This article originally appeared as an answer on Quora. As someone who often finds himself explaining machine learning to non-experts, I offer the following list as a public service announcement. Machine learning means learning from data; AI is...

Wise Practitioner – Predictive Analytics Interview Series: Lukas Vermeer at Booking.com

 In anticipation of his upcoming conference presentation, Data Alchemy at Predictive Analytics World for Business London, October 11-12, 2017, we asked Lukas Vermeer, Data Scientist, Booking.com, a few questions about his work in predictive analytics. Q: Hi...

15 Steps for Selecting a Talent Assessment Solution that Predicts Business Performance

 Over the past 30+ years, businesses have spent billions on talent assessments. Many of these are now being used to understand job candidates.  Increasingly, businesses are asking how (or if) a predictive talent acquisition strategy can include...

Wise Practitioner – Predictive Analytics Interview Series: Feras Batarseh at George Mason University – George Washington University

 In anticipation of his upcoming conference presentation at Predictive Analytics World for Healthcare New York, October 29 – Nov 2, 2017, we asked Feras Batarseh, Research Assistant Professor, George Mason University – George Washington University, a few questions...

Wise Practitioner – Predictive Analytics Interview Series: Anasse Bari, New York University

  Wall Street and the New Data Paradigm In anticipation of his upcoming conference presentation, Wall Street and the New Data Paradigm at Predictive Analytics World for Financial in New York, Oct 29-Nov 2, 2017, we asked...

Page 35 of 75 1 30 31 32 33 34 35 36 37 38 39 40 75