Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
It’s a Bird, It’s a Plane, It’s a Classified Flying Object
 How Computer Vision Is Used To Classify Objects. Featuring...
Overcoming the Explainability Challenges of Machine Learning Models
 Some History Machine Learning Models, which have historically been...
What’s In Your Basket?
 You’re finally upgrading to a top of the line...
8 Things That Algorithms Can Do Better Than Humans
 We humans like to think that we are at...

data science

Research Summary: Health Care, Capabilities, and AI Assistive Technologies

 Originally published in MAIEI, May 3, 2020. The adoption of AI-enabled solutions in the healthcare industry has accelerated with the ongoing pandemic and while there are a lot of concerns raised, most quite aptly, there is a need to evaluate these concerns in firm moral principles and foundations before dismissing these solutions as not meeting

Want to Find a Misinformed Public? Facebook’s Already Done It

 Originally published in The Markup, April 23, 2020. While vowing to police COVID-19 misinformation on its platform, Facebook let advertisers target users interested in “pseudoscience.” Last week, Facebook CEO Mark Zuckerberg wrote a post pledging to combat...

Machine Learning Engineers Will Not Exist In 10 Years

 Originally published in Medium, April 28, 2020 The landscape is evolving quickly.  Machine Learning will transition to a commonplace part of every Software Engineer’s toolkit. In every field we get specialized roles in the early days, replaced...

4 Steps to Ensure Your AI/Machine Learning System Survives COVID-19

 Originally published in KDNuggets, April, 2020. Many AI models rely on historical data to make predictions on future behavior. So, what happens when consumer behavior across the planet makes a 180 degree flip? Companies are quickly seeing...

“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...

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...

How AI Could Help Translate the Written Language of Ancient Civilizations

 Originally published in University of Chicago News, March 11, 2020 OI, Computer Science scholars collaborate on program to read cuneiform tablets. Twenty-five centuries ago, the “paperwork” of Persia’s Achaemenid Empire was recorded on clay tablets—tens of thousands...

The 5 Classification Evaluation Metrics Every Data Scientist Must Know. And when Exactly to Use Them?

 Originally pubished in Medium, Sept 17, 2019. What do we want to optimize for? Most of the businesses fail to answer this simple question. Every business problem is a little different, and it should be optimized differently....

Is What You Did Ethical? Helping Students in Computational Disciplines to Think About Ethics

 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...

Can Big Data Lie: A Statistical Paradox

 While I have spent most of my career exploring and leveraging data science, and its associated rigorous analytics, only in the past decade or so have so many managers accepted the obvious- that data driven decision making...

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