Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Video – How to Use AI Ethically from Natalia Modjeska of Omdia
 Event: Machine Learning Week 2021 Keynote: How to Use AI...
Video – Alexa On The Edge – A Case Study in Customer-Obsessed Research from Susanj of Amazon
 Event: Machine Learning Week 2021 Keynote: Alexa On The Edge...
Why AI Isn’t Going to Replace Data Scientists Any Time Soon
 Should data scientists consider AI a threat to their...
“Doing AI” Is a Mistake that Detracts from Real Problem-Solving
  A note from Executive Editor Eric Siegel: Richard...

Analytics

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

Exploring Gender Imbalance in AI: Numbers, Trends, and Discussions

 Originally pubished in Medium, March 13, 2020 March is Women’s History Month in the US, the UK and Australia, a time to honour women’s sometimes underrated contributions to society. According to the US National Women’s History Museum,...

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....

The New Business of AI (and How It’s Different From Traditional Software)

 Originally published in a16z.com February 16, 2020 At a technical level, artificial intelligence seems to be the future of software. AI is showing remarkable progress on a range of difficult computer science problems, and the job of...

Predicting the President: Two Ways Election Forecasts Are Misunderstood

  Originally published by Big Think When it’s a presidential election year, speculation is in the cards. It’s the national pastime. Everyone wants to predict who’ll win. But, man, did people mismanage their own expectations leading up...

Is Machine Learning Always The Right Choice?

 Since this article will probably come out during Income tax season, let me start with the following example: Suppose we would like to build a program that calculates income tax for people. According to US federal income...

Remember FindFace? The Russian Facial Recognition Company Just Turned On A Massive, Multimillion-Dollar Moscow Surveillance System

  Originally published in Forbes.com, January 29, 2020 Built on several tens of thousands of cameras and what’s claimed to be one of the most advanced facial recognition systems on the planet, Moscow has been quietly switching...

An AI Epidemiologist Sent the First Warnings of the Wuhan Virus

 Originally published in Wired.com, January 25, 2020 The BlueDot algorithm scours news reports and airline ticketing data to predict the spread of diseases like those linked to the flu outbreak in China. On January 9, the World...

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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