Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Some Thoughts on Analytics in a Post COVID-19 Environment
 In these most difficult times, the use of analytics...
Re-examining Model Evaluation: The CRISP Approach
 The performance of prediction models can be judged using...
An Agile Approach to Data Science Product Development
 Introduction With the huge growth in machine learning over...
Wise Practitioner – Predictive Analytics Interview Series: Haig Nalbantian at Mercer – BIZ
 By: Eric Siegel, Founder, Predictive Analytics World for Business...

data science

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 standard

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...

The Three Reasons Companies Seek University Partnerships

 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...

Keeping Data Inclusivity Without Diluting your Results

 Originally published in WeAllCount.com, January 17, 2020 Let’s say you are surveying 100 people out of 10,000. You want to analyze the data from your sample of 100 to get answers about the likely behaviors and preferences...

The ML Times Is Growing – A Letter from the New Editor in Chief

  Dear Reader, As of the beginning of January 2020, it’s my great pleasure to join The Machine Learning Times as editor in chief! I’ve taken over the main editorial duties from Eric Siegel, who founded the...

The 4 Hottest Trends in Data Science for 2020

 Originally published in Towards Data Science, January 8, 2020 2019 was a big year for all of Data Science. Companies all over the world across a wide variety of industries have been going through what people are...

How to Perfect Your Data Science Resume in 3 Easy Steps

 Breaking into the world of Data Science can be tricky, but writing a killer resume gives you a better chance of landing a job in this highly competitive field. There are a few simple steps you can...

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