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William Vorhies's Blog Posts Tagged 'learning' (48)

Data Science Opportunities in the Age of COVID

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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Added by William Vorhies on September 1, 2020 at 8:00am — No Comments

LEEP: Measuring Transferability of Learned Representations

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…

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Added by William Vorhies on August 21, 2020 at 10:26am — No Comments

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

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

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

Advanced Analytic Platforms – Changes in the Leaderboard 2020

Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out the big news is how much more capable all the platforms have become.  Of course there are also some interesting winner and loser stories.

 

The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out for 2020.  The really big news is how many excellent choices are now available.  In a remarkable move, the whole field of…

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Added by William Vorhies on February 17, 2020 at 12:19pm — 2 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 Does the Future Depend on AI?

Summary:  Looking at the 12 hottest world-changing segments in the VC-funded world shows that AI will play a key role.  Here’s a little more detail.

 

From the inside of the data science profession looking out it’s easy to imagine that almost everything that is or will be important somehow depends on AI.  Maybe…

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Added by William Vorhies on January 13, 2020 at 11:20am — 1 Comment

Reimagining Reinforcement Learning – Upside Down

Summary:  For all the hype around winning game play and self-driving cars, traditional Reinforcement Learning (RL) has yet to deliver as a reliable tool for ML applications.  Here we explore the main drawbacks as well as an innovative approach to RL that dramatically reduces the training compute requirement and time to train.

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Added by William Vorhies on December 23, 2019 at 7:30am — No Comments

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