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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 do to get hired into your first machine learning job. I said in that post that one thing

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...

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...

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