Machine Learning Times
Machine Learning Times
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 Originally published in OneZero, May 7, 2020 You won’t be able to hide behind...

 Originally published in MAIEI, May 3, 2020. The adoption of AI-enabled solutions in the...

 Originally published in The Markup, April 23, 2020. While vowing to police COVID-19 misinformation...

  • 1 week ago
    8 Things That Algorithms Can Do Better Than Humans

     

     We humans like to think that we are at the top of the evolutionary hierarchy. However, it is increasingly becoming clear that algorithms can execute some tasks better and more judiciously than humans can, or ever will be able to. From board games to medical diagnoses to reforming the justice system, algorithms are outperforming humans […]

  • 4 weeks ago
    Industrial Asset Optimization: Connecting Machines Directly with Data Scientists

     

     For more from this author, attend his virtual presentation, Industrial Asset Optimization:  Machine-to-Cloud/Edge Analytics, at Predictive Analytics World for Industry 4.0, May 31-June 4, 2020.  For industrial firms to realize the benefits promised by embracing Industry 4.0, the access to clean, quality asset data must improve.  Most of a data , scientist’s work, in any […]

  •  

     For more information on this topic, attend the virtual conference, Predictive Analytics World for Industry 4.0, May 31-June 4, 2020.  So many things are changing rapidly as the world responds to the risk from coronavirus. We know that there is no such thing as “business as usual”, but what does that really mean? Some firms […]

  • 1 month ago
    “If We Place Graduates Into the Private Sector, We Failed”: Why Universities and Companies Need to Rethink the Role of the PhD

     

     This is part 4 of a 5-part series on university/corporate partnerships in analytics and data science. In addition to this article, Dr. Priestley will also present on this topic at Predictive Analytics World for Business in Las Vegas, May 31-June 4, 2020. For details about her session, “How Leading Enterprises Leverage Universities to Boost Analytical […]

  • 1 month ago
    Looking At The Numbers in COVID-19

     

     Like many of you, my focus during this crisis has been less on analytics and more about family, friends, etc. which on a more positive note seems to gain greater emphasis as we reassess our priorities.  But the bombardment of news regarding this crisis certainly focuses on numbers in terms of providing a perspective of […]

  •  

     In these most difficult times, the use of analytics is certainly not top of mind for most organizations unless it is being used to combat the virus. The challenging scenarios of meeting payroll and having access to cash are the obvious immediate priorities. But from a non analytical perspective, like most people, I am amazed […]

  • 2 months ago
    Re-examining Model Evaluation: The CRISP Approach

     

     The performance of prediction models can be judged using a variety of methods and metrics. Some years ago, I was challenged to arrive at a set of rules that would provide both the analyst and marketer guidance as to how to evaluate results of a predictive modeling exercise. “What?” you ask.  “Just look into a […]

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