Machine Learning Times
EXCLUSIVE HIGHLIGHTS
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
How To Overcome Predictive AI’s Everyday Failure
  Originally published in Forbes Executives know the importance of predictive...
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...

Author Archive

Best of arXiv.org for AI, Machine Learning, and Deep Learning – July 2018

 Originally published in insideBIGDATA, August 13, 2018 In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the

Infographic: The Data Scientist Shortage

 Originally published in insideBIGDATA,  August 19, 2018. The supply of information stored digitally and accessible to web users worldwide currently amounts to around 4.4 Zettabytes or 4.4 Trillion Gigabytes. Of that information, most of it was produced...

AI Algorithm Teaches a Car to Drive From Scratch in 20 Minutes

 Originally published in New Atlas, July 5, 2018 For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World, June 16-19, 2019 in Las Vegas. A pair of artificial intelligence...

On Variable Importance in Logistic Regression

 The model looks good. It’s parsimonious, provides effective segmentation, and the predictors appear to be intuitively reasonable. While there is no problem with deploying results, you need to be able to order the variables in terms of...

Data-Driven Decisions for Law Enforcement in Toronto

 For today’s leading deep learning methods and technology, attend the conference and training workshops at Predictive Analytics World for Government, Sept 17-21, 2018 in Washington, DC. Data-driven decisions for law enforcement are not new and have been used...

AI, Machine Learning, and the Basics of Predictive Analytics for Process Management

 APQC Chair Carla O’Dell interviews Predictive Analytics Times Executive Editor and Predictive Analytics World Founder Eric Siegel about predictive analytics and machine learning’s application to process management. Dr. Siegel will be speaking at APQC’s Process & Performance...

Data Reliability and Analytic Validity for Non-Dummies

 There is not much attention paid these days to data reliability and validity (DR&V). Many data-scientific practitioners, especially those in Computer Science-IT Data Science (CS-IT Data Science),  don’t get what the terms mean, especially for DR&AV work...

Why Isn’t Machine Learning More Widely Used for Medical Diagnoses?

 Originally published in Quora.com May 30, 2018 I used to scratch my head asking the same question until I had an enlightening conversation with a close friend of mine who works for a large healthcare consulting company....

Overview of Mega-PAW Vegas 2018: Summary of Keynotes and More

  As both a speaker and a representative of the IIA, I attended the Predictive Analytics World (PAW) show in Las Vegas, June 5-6, 2018. The organizers stated that they had approximately 600 people registered – and...

Debunking Google’s Death AI

 Originally published in Data Science Central, July 4, 2018 Editor’s note: Although this author absolves the researchers (from Google) and blames only the journalists for the widespread false claims of a 95% accuracy level for mortality prediction,...

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