Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...

Original Content

The Top Distributed Computing Packages for Data Science, Ranked

 Transitioning from academia to industry in Data Science can be a daunting task. The sheer breadth of available tools can make it difficult to figure out where to start with learning Data Science skills, and which are most important to learn. To help guide learners on their Data Science journey, we thought it would be

A Chicken/Egg Problem: Management or Analytics Software?

 Since time immemorial, human beings have puzzled over, and been fascinated by dualities: yin and yang, thought and action, strategy and execution. As CEO of Visier, a company that helps business leaders use data to answer critical...

Five Ways to Select a High Value Predictive HR Project

 Originally published at Talent Analytics, Inc. 1.  Identify a business problem to solve. Almost everyone working on modern predictive analytics discusses the need for a defined business problem before engaging in a predictive project. And yet, the...

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...

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...

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