Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...

Original Content

Feature Engineering vs. Machine Learning in Optimizing Customer Behavior

 The debate on this topic is not a new one. What is the secret sauce in yielding improved modelling performance?  Is it the inputs, features or variables of a given predictive model or is it the specific mathematics that is used alongside these inputs or features? Historically, practitioners including myself, have tended to argue that

Wise Practitioner – Predictive Analytics Interview Series: Stephen Morse, Advisor at Neudata

 In anticipation of his upcoming conference presentation, Leveraging Alternative Data Sources to Gain a Critical Competitive Advantage at Predictive Analytics World for Financial in New York, Oct 29-Nov 2, 2017, we asked Stephen Morse, Adviser at Neudata,...

Wise Practitioner – Predictive Analytics Interview Series: Dongyang Fu and Wen Shi at Concord Advice

 In anticipation of their upcoming conference presentation, Improving Credit Scoring with Hierarchical Bayesian Modeling at Predictive Analytics World for Financial in New York, Oct 29-Nov 2, 2017, we asked Dongyang Fu and Wen Shi, Data Scientists at...

Wise Practitioner – Predictive Analytics Interview Series: Ron Cowan at Snowforce Data

 In anticipation of his upcoming conference presentation, Using Mileage Logs to Predict Successful Sales Behavior at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Ron Cowan, Founder at Snowforce Data, a few...

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...

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...

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