Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

Left-hand

4 Human-Caused Biases We Need to Fix for Machine Learning

 Originally published in The Next Web, October 27, 2018 Bias is an overloaded word. It has multiple meanings, from mathematics to sewing to machine learning, and as a result it’s easily misinterpreted. When people say an AI model is biased, they usually mean that the model is performing badly. But ironically, poor model performance is

Building a Diverse Workforce for Next-Generation Analytics and AI

 Originally published in HPCWire, October 15, 2018 High-performance computing (HPC) has a well-known diversity problem, and groups such as Women in HPC are working to address it. But while the diversity challenge crosses the science and technology...

The Growing Participation of Women in the Data Science Community

 Originally published in KDNuggets, September 2018 Research indicates data science is a promising career path, and it’s a field likely to offer job security and growth for the foreseeable future. Women are still significantly underrepresented, though. Statistics...

Deep Learning Framework Power Scores 2018—Who’s On Top in Usage, Interest, and Popularity?

 Originally published in Towards Data Science  September 19, 2018 For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World, June 16-19, 2019 in Las Vegas.  Deep learning continues to...

How Netflix Uses Big Data to Drive Success

 Originally published in insideBIGDATA  January 20, 2018. Netflix has over 100 million subscribers and with that comes a wealth of data they can analyze to improve the user experience. Big data has helped Netflix massively in their...

Best of arXiv.org for AI, Machine Learning, and Deep Learning – July 2018

 Originally published in insideBIGDATA, August 13, 2018 In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from disciplines...

Infographic: The Data Scientist Shortage

 Originally published in insideBIGDATA,  August 19, 2018. The supply of information stored digitally and accessible to web users worldwide currently amounts to around 4.4 Zettabytes or 4.4 Trillion Gigabytes. Of that information, most of it was produced...

AI Algorithm Teaches a Car to Drive From Scratch in 20 Minutes

 Originally published in New Atlas, July 5, 2018 For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World, June 16-19, 2019 in Las Vegas. A pair of artificial intelligence...

Why Isn’t Machine Learning More Widely Used for Medical Diagnoses?

 Originally published in Quora.com May 30, 2018 I used to scratch my head asking the same question until I had an enlightening conversation with a close friend of mine who works for a large healthcare consulting company....

Debunking Google’s Death AI

 Originally published in Data Science Central, July 4, 2018 Editor’s note: Although this author absolves the researchers (from Google) and blames only the journalists for the widespread false claims of a 95% accuracy level for mortality prediction,...

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