Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
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...

Industry News

Common Mistakes When Carrying Out Machine Learning and Data Science

 Originally published in KDnuggets, December 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. This is part two of this series, find part one here – How to build a data science project from scratch. After scraping or getting

Explainable Artificial Intelligence (Part 2) – Model Interpretation Strategies

 Originally published in KDnuggets, December 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. Introduction This article is a continuation in...

Facebook’s Top AI Scientist Says It’s ‘Dust’ Without Deep Learning

 Originally published in CNN Business, December 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. Without artificial intelligence there wouldn’t...

The Future of EHRs, Big Data, and Patient Privacy

 Originally published in insideBIGDATA, October 26, 2018 For today’s leading deep learning methods and technology, attend the conference and training workshops at Predictive Analytics World for Healthcare, June 16-19, 2019 in Las Vegas. Moving patient data online...

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...

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...

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