Predictive Analytics Times
Predictive Analytics Times
EXCLUSIVE HIGHLIGHTS
Machine Learning and Artificial Intelligence: Not New Concepts for the Data Science Practitioner
 Economic disruption is a reality which has been a...
Interview: The Institute of Business Forecasting & Planning Talks to Dr. Eric Siegel
  Dr. Eric Siegel cuts through the buzzwords surrounding...
Investment Modeling Grounded In Data Science
 For more from Dr. Elder, join Predictive Analytics World...
Some Thoughts On Being a Data Science Entrepreneur in a Disruptive Economy
 The movie “Being There” may seem like an odd...

Machine Learning

Are We Using Machine Learning?

 In the midst of a recent engagement an executive suddenly asked, “Are we using Machine Learning?”.  This caught us off-guard; working in the field for many years, we use the “learning sciences” virtually every day to solve hard problems.  Machine Learning (ML), Data Science (DS) and Artificial Intelligence (AI) are exciting and very powerful; still,

Dr. Data Show Video: Why Machine Learning Is the Coolest Science

 Watch the premiere episode of The Dr. Data Show, which answers the question, “What makes machine learning the coolest science?” About the Dr. Data Show. This new web series breaks the mold for data science infotainment, captivating...

Data Reliability and Validity, Redux: Do Your CIO and Data Curators Really Understand the Concepts?

 Here are two recent entries on the big but neglected issue of data reliability and analytic validity (DR&AV), from the vast commentariat that is LinkedIn: One of my complaints with hashtag#bigdata, is there isn’t enough focus on...

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...

Why Your Analytics Must Ask the Data “Good” Questions — Ones that Reduce Data

 The problem of monetizing Big Data, or improving its usefulness in decision-making, stands out in every forward-looking organization today. To solve it, as everyone knows by now, it is not enough to store or manage it. We...

The Art of Data Science

 With much of the latest discussion focused on the latest techniques in machine learning  and in particular deep learning, the significant benefits of machine learning and deep learning are now a public reality. Yet, machine learning in...

Deep learning applications in railroads: Predicting carloads

 Originally published in Railway Age, January 31, 2018 For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World Las Vegas, June 3-7, 2018.   The freight railroad industry is considered by...

12 Amazing Deep Learning Breakthroughs of 2017

 Originally published in Forbes, Feb 5, 2018 For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World Las Vegas, June 3-7, 2018.   The quest to give machines a mind of...

Machine Learning – Can We Please Just Agree What This Means

 Originally published in Data Science Central, Dec 4, 2017 For the latest techniques in and revealing case studies about machine learning and predictive analytics, attend Predictive Analytics World for Business Las Vegas, June 3-7, 2018. As a...

Deep Learning vs. Machine Learning: A Data Scientist’s Perspective

 By: Rajendra Originally published in Houseofbots.com As artificial intelligence (AI) works its way into mainstream business practices, various different applications are coming up in conversations about how to best leverage the technology. In observing these conversations, I...

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