Machine Learning Times
EXCLUSIVE HIGHLIGHTS
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
How To Overcome Predictive AI’s Everyday Failure
  Originally published in Forbes Executives know the importance of predictive...
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...

Author Archive

An Agile Approach to Data Science Product Development

 Introduction With the huge growth in machine learning over the past few years, there is a lot of discussion, but few frameworks, on effective AI Project Management. Industry-standard frameworks for data analysis projects, like CRISP-DM, exist but none are effective for managing the development of AI products from deployment to production. The result is that

With Launch of COVID-19 Data Hub, The White House Issues A ‘Call To Action’ For AI Researchers

 Originally published in TechCrunch, March 16, 2020 In a briefing on Monday, research leaders across tech, academia and the government joined the White House to announce an open data set full of scientific literature on the novel...

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....

Reuters Uses AI To Prototype First Ever Automated Video Reports

 Originally published in Forbes, Feb 7, 2020 AI is coming for journalism. But rather than simply being used to take jobs from writers, Reuters has now shown that it can enhance the scale and personalization of news...

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...

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...

Amazon’s A.I. Emotion-Recognition Software Confuses Expressions for Feelings

 Originally published in Medium OneZero, October 29, 2019 People’s faces say a lot less about their emotions than companies think. August, Amazon announced it had improved “accuracy for emotion detection” in its facial-recognition software. Not only could...

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...

Page 37 of 72 1 32 33 34 35 36 37 38 39 40 41 42 72