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Alex…

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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By

• Priya Sharma – Sr. Data Scientist -IoT Analytics, SAS Institute Inc.
• Saurabh Mishra – Product Management, IoT, SAS Institute Inc.

June 12, 2020

Description: Majority of AI approaches are based on the construct of training against historical data and then inferencing new data. While this is a sound and proven approach, a lot of IoT assets coming online don’t have historical data and we don’t necessarily have the time to wait.

Modern Machine…

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…

Industry 4.0 or the fourth industrial revolution is predicted to revolve around data. Organizations that will thrive this revolution will be the ones that will realize the value of data as their corporate asset and make smart technology choices to make data-driven decisions. For the organizations of today to get future-ready, having smart analytical applications to bring together data from multiple sources, form a meaningful dataset, and accelerate the…

When creating a website, it is an essential objective of developers to make it appealing. They undergo a few systems, including drawing idea sketches, building models, and experimenting with the website before pushing it live.

These procedures don’t occur parenthetically. Developers spend many months on constructing a beautiful and responsive website. Be that as it may, the development in technologies is making things more manageable for them.

The cutting edge technologies like…

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…

The world has been witness to some profound changes over the past couple of decades. For example, we can shop for furniture without needing to leave our house or even send money halfway across the world with a few taps on your smartphone’s screen. However, there is one aspect of human existence that has undergone some of the most profound changes of them all — learning. Yep. Today, education is no more confined to schools, colleges, or other educational facilities. Today, students have not…

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…

As companies increase their investments in artificial intelligence (AI), there is growing pressure on developers and engineers to deploy AI projects more quickly and at greater scale across the enterprise.

Simply evaluating the ever-expanding universe of AI tools and services— often designed for different users and purposes—is a significant challenge in this growing and fast-moving environment.

To address this challenge, we have created the AI…

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…

Summary:  High stakes models like those that allocate scarce resources to competing hospitals are headline news.  New thinking contrasting model-based versus model-free learning are emerging to describe new conditions we must consider before building or evaluating those models.

At this point we’re all…

Summary: Whether trying to predict the life outcomes of disadvantaged kids or to model where ventilators will be most needed, a little humility is in order.  As this study shows, the best data and the broadest teams failed at critical predictions.  Getting the model wrong, or more importantly using it in the wrong way can hurt all of us.

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Today almost all modern technologies are in full swing, and one such technology is Artificial Intelligence (AI). This modern technology just looks like a science fiction story, but presently it is more closer to that. Most of the businesses and entrepreneurs are putting efforts to integrate this advanced technology within their working environment.

According to market research…