Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
5 Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes AI is in trouble. Both...
This Simple Arithmetic Can Optimize Your Main Business Operations
 Originally published in Forbes Deep down, we all know that...
Predictive AI Usually Fails Because It’s Not Usually Valuated
 Originally published in Forbes Why in the world would the...
Panic Over DeepSeek Exposes AI’s Weak Foundation On Hype
 Originally published in Forbes The story about DeepSeek has disrupted...

Left-hand

Deep-Learning Technique Reveals “Invisible” Objects in the Dark

  Originally published in MIT News, December 12, 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. Method could illuminate features of biological tissues in low-exposure images. Small imperfections in a wine glass or tiny creases in a contact

Why “Many-Model Thinkers” Make Better Decisions

  Originally published in Harvard Business Review, November 19, 2018. Organizations are awash in data — from geocoded transactional data to real-time website traffic to semantic quantifications of corporate annual reports. All these data and data sources...

5 Predictive Analytics Applications Positioned to Grow in 2019

 Originally published in TechRepublic, December 11, 2018 By 2022, research firm MarketsandMarkets projects that the predictive analytics market will be worth 12.41 Billion USD, which makes sense considering that companies from every industry sector drive this market....

The Cold Start Problem: How to Build Your Machine Learning Portfolio

 Originally published in KDNuggets, January, 2019 I’m a physicist who works at a YC startup. Our job is to help new grads get hired into their first machine learning jobs. Some time ago, I wrote about the things you should...

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,...

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...

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