Subscribe to DSC Newsletter

William Vorhies's Blog – December 2019 Archive (4)

Can Reinforcement Learning Break Through in 2020

Summary:  Reinforcement Learning (RL) is going to be critical to achieving our AI/ML technology goals but it has several barriers to overcome.  While reliability and a reduction in training data may be achievable within a year, the nature of RL as a ‘black box’ solution will bring scrutiny for its lack of transparency.

 …

Continue

Added by William Vorhies on December 30, 2019 at 11:18am — No Comments

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.

 …

Continue

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

Is AI About to Hit a Wall?

Summary:  There have been several stories over the last several months around the theme that AI is about to hit a wall.  That the rapid improvements we’ve experienced and the benefits we’ve accrued can’t continue at the current pace.  It’s worth taking a look at these arguments to see if we should be adjusting our plans and expectations.

 …

Continue

Added by William Vorhies on December 16, 2019 at 9:24am — 5 Comments

No Matter What You Call It, It’s all the Same Thing

Summary:  A little history lesson about all the different names by which the field of data science has been called, and why, whatever you call it, it’s all the same thing.

 

A little reminiscence, or for those of you who are only recently data scientists, a little history lesson. 

Our profession of…

Continue

Added by William Vorhies on December 4, 2019 at 3:12pm — No Comments

Monthly Archives

2020

2019

2018

2017

2016

2015

2014

Videos

  • Add Videos
  • View All

© 2020   TechTarget, Inc.   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service