Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…

Artificial intelligence is a relatively ubiquitous phenomenon at this point. And yet, for some reason, it remains shrouded in at least a little bit of mystery. But the truth is that over the past decade, or so, this novel technology has managed to establish itself as an integral part of, well, pretty much every industry on the face of Earth. Since it continues to help companies and businesses improve virtually every aspect of their operations, there is one incredibly exciting field that has…

Summary:  The annual Burtch Works salary survey with data through April shows that opportunities and salaries are still excellent for both new and experienced data scientists.  They also offer some anecdotal observations about the impact of the first few months of COVID on our work and opportunities.

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AI for People and Business is an AI book and AI strategy framework. Here's the official book trailer where I explain important topics that are covered in the book, as well as the beneficial aspects of reading it and the importance of developing a strong AI strategy.

FREE CHAPTER DOWNLOAD -…

Summary:  Transfer Learning (TL) may be the most important aid to adoption of deep learning in the last several years.  This new LEEP measure predicts the accuracy of the transfer and should make TL faster, cheaper, and better.

What is the single most important innovation in deep learning in the last several…

Summary:  Less than 9%?  What this study really shows and what we should take away from it.

Wow.  Less than 9%!  Can this be true?  Well according to a large scale survey study conducted by the US Census Bureau it’s actually a…

Summary:  An update and observations about China’s plan to become the world leader in AI. 

Whether you get your news from Facebook or from the Wall Street Journal you can’t help having heard that China is out to displace the US as the world leader in AI.  Variously you may have heard that…

Summary:  Bias in modeling has long been a public concern that is now amplified and focused on the disparate treatment models may cause for African Americans.  Defining and correcting the bias presents difficult issues for data scientists that need to be carefully thought through before reaching conclusions.

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This the second part of Reinforcement Learning (Q-learning). If you would like to understand the RL, Q-learning, and key terms please read Part 1.

In this part, we will implement a simple example of Q learning using the R programming language from scratch. It is expected from you to understand the basics of R programming and complete the reading of Part 1 of this article.

Import libraries

We are coding the algorithms using the R base package…

Have you heard about AI learning to play computer games on their own and giving tough competitions to expert Human gamers?

A very popular example being Deepmind whose AlphaGo program defeated the South Korean Go world champion in 2016. Other than this there are other AI agents developed with the intent of playing Atari games like…

Summary:  Explaining data science to a non-data scientist isn’t as easy as it sounds.  You may know a lot about math, tools, techniques, data, and computer architecture but the question is how do you explain this briefly without getting buried in the detail.  You might try this approach.

We’ve all been…

Summary:  What is an AI Product Manager and how do you know when you need one.

The role of Product Manager (PM) can mean many things dependent on the specifics of the company, its markets, its channels, and the variety of its products.  It’s almost impossible to put a single label on the responsibilities of a…

Summary:  In a comprehensive study of 18 recently presented DNN advancements in top-N recommenders, only 7 presented sufficient data to allow reproduction.  Worse, of the 7 that could be reproduced none showed an actual improvement over simple linear and KNN techniques when those were properly optimized.

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Summary: As we have become ever more enamored with DNNs, and their accuracy and utility has been paced only by their complexity we will need to answer the question of whether we will ever really be able to explain what goes on inside.

As we have become ever more enamored with DNNs, and their accuracy and…

Summary:  Analytic Platforms are rapidly being augmented with features previously reserved for data scientists.  They are presented as easy to use but require substantial data literacy and advanced DS skills for the most complex.  Business users and analysts can pursue more complex problems on their own, but need good oversight.

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Summary:  Now that you have a little time for introspection, how about reviewing the performance of your chatbots.

Chances are this lock down period has given you a little more time for introspection and observation than you had before.  Let me suggest that this would be a good time to take a look at how your…

Summary:  COVID-19 and the changes it creates in the business environment for the next 12 to 24 months means our current AI strategies need to thoroughly reviewed and probably retargeted.

Whether you are a Zoom-connected CXX level living out your WFH isolation or one the ‘fortunates’ in essential industries…