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

Interview: The Institute of Business Forecasting & Planning Talks to Dr. Eric Siegel

  Dr. Eric Siegel cuts through the buzzwords surrounding predictive analytics to reveal what it is, how it works, and how it is driving major improvements in business—including in demand forecasting. He discusses the persuasion paradox, reveals how companies can get started in predictive analytics, and dispels the myth that all consumers of this technology

Investment Modeling Grounded In Data Science

 For more from Dr. Elder, join Predictive Analytics World Las Vegas, May 31-June 4, 2020.   Elder Research has solved many challenging and previously unsolved technical problems in a wide variety of fields for Government, Commercial and...

Some Thoughts On Being a Data Science Entrepreneur in a Disruptive Economy

 The movie “Being There” may seem like an odd theme on an article concerning data science entrepreneurship. Yet, this movie highlights certain characteristics which are essential to success as an entrepreneur within all disciplines including data science....

Asking the Right Analytics Questions and Whether Tiger Woods is better than Jack Nicklaus

  One of the most fundamental contributions we can make as consultants is to help our clients ask the right questions of their data. We’re often asked to help solve problems that turn out to be too...

Key Considerations in Applying Deep Learning to Predict Consumer Behavior

 The development and application of predictive analytics solutions for organizations is not new, particularly in the area of consumer behavior. Models have been built since the end of the Second World War to predict consumer behavior with...

Wise Practitioner – Predictive Analytics Interview Series: Nathan Susanj at Wells Fargo

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Wise Practitioner – Predictive Analytics Interview Series: Dean Abbott at SmarterHQ

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Should You Choose A GPU or A TPU to Train Your Machine Learning Models?

 For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World Las Vegas, June 16-20, 2019.   When eBay was looking for a cutting edge machine learning solution that could train a...

Wise Practitioner – Predictive Analytics Interview Series: Dan Sarkar at Insight Que Solutions

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Wise Practitioner – Predictive Analytics Interview Series: Leslie Barrett at Bloomberg LP

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