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All Blog Posts Tagged 'intelligence' (146)

The Census Bureau Says Less Than 9% of US Companies are Using AI! Really?

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…

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Added by William Vorhies on August 3, 2020 at 1:00pm — No Comments

China’s Quest for AI Dominance – And How It’s Going

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…

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Added by William Vorhies on July 28, 2020 at 8:32am — No Comments

Racial Bias in Modeling – Not as Simple as You Might Think

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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Added by William Vorhies on June 29, 2020 at 11:31am — No Comments

Reinforcement Learning (Q-learning) - Implementation using R (Part 2)

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…

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Added by Nitin Agarwal on June 4, 2020 at 8:23pm — No Comments

Reinforcement Learning (Q-learning) - An Introduction (Part 1)

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…

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Added by Nitin Agarwal on June 4, 2020 at 7:51pm — No Comments

Explaining Data Science to a Non-Data Scientist

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…

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Added by William Vorhies on June 2, 2020 at 9:40am — 3 Comments

Do You Need an AI Product Manager

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…

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Added by William Vorhies on May 25, 2020 at 10:23am — 2 Comments

KISS – Complex DNN Techniques are Not the Improvements They’re Reported to Be

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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Added by William Vorhies on May 19, 2020 at 12:53pm — No Comments

Will DNNs Ever Really be Explainable?

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…

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Added by William Vorhies on May 11, 2020 at 2:41pm — No Comments

For Better or Worse Analytics and Data Science are Converging

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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Added by William Vorhies on May 4, 2020 at 1:06pm — No Comments

Time for a Chatbot Tune-Up

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…

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Added by William Vorhies on April 28, 2020 at 11:12am — No Comments

How COVID-19 is Likely to Change Your AI Strategy

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…

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Added by William Vorhies on April 21, 2020 at 10:53am — No Comments

Model Transparency and the Complication of Model-Based vs Model-Free Learning

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…

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Added by William Vorhies on April 13, 2020 at 2:01pm — No Comments

Predictability of Life Outcomes - Guess We Can’t Predict Everything

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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Added by William Vorhies on April 6, 2020 at 2:56pm — No Comments

Binge Watching “The History of Artificial Intelligence”

Summary:  An interesting documentary about the earliest days of AI/ML and my alternate take on how we should really be describing the development of our profession to the newly initiated.

 

What could be more natural in these days of the Corona Virus than binge watching great videos.  I was intrigued by a…

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Added by William Vorhies on March 30, 2020 at 2:52pm — 1 Comment

Building a COVID-19 Vulnerability Index

Summary: Since COVID-19 is occupying most of our thoughts these days, it seems appropriate to highlight where AI/ML is making a contribution to getting us out of our homes and back to work. 

 

Since COVID-19 is occupying most of our thoughts these days, it seems appropriate to highlight where AI/ML is making a…

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Added by William Vorhies on March 24, 2020 at 8:40am — 2 Comments

Making Sense of the Hype Cycle for Artificial Intelligence

Summary:  If you’re planning your AI/ML business strategy watch out for the confusion in categories and overly risky ratings given by some research and review sources.  Read the research, then consult with your own data scientists for a better evaluation of risk. It’s likely not as bad as you think. 

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Added by William Vorhies on March 2, 2020 at 12:42pm — No Comments

Ability to generalize - A measure of intelligence ?

Knowledge acquisition is about building generalization capabilities. In machine learning world, generalization refer to the model's ability to make accurate predictions from never before seen data. Well generalized models possess intelligence to work on data from new scenarios. This is true for human intelligence also. Children start learning from examples and initially they fail to respond properly to unforeseen situations. Gradually they acquire generalization skills to respond to all… Continue

Added by Janardhanan PS on February 16, 2020 at 9:02pm — No Comments

An Argument in Favor of Centaur AI

Summary:  Centaur AI is the best marriage of the machine’s ability to remember, analyze, and detect issues along with the human’s intuition to evaluate or take action on those results.  Instead of focusing on AI replacing humans, we should focus on AI in its role of augmenting humans.

 

In this angsty age where…

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Added by William Vorhies on February 11, 2020 at 1:19pm — No Comments

Just How Much Do You Trust Your AI?

Summary:  Just how much should you trust your AI systems?  Best practice points to constant review, strong governance, and the willingness to override results that seem illogical.

 

Just how much do you trust your AI?  This is not intended to be the skeptical consumer view about bias or black box outcomes. …

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Added by William Vorhies on January 20, 2020 at 8:26am — No Comments

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