Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How to Apply Machine Learning to Business Problems
 Originally published in Emerj, April 25, 2020. It’s easy...
Guidebook to the Future of Data Science: How to Navigate the Increasingly Symbiotic Dynamic Between Executives and Universities
 Book Review of Closing the Analytics Talent Gap: An...
Guilty or Not Guilty: Weight of Evidence
 You have been invited to serve as a juror...
How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...

kernal function

Gradient Descent Models Are Kernel Machines (Deep Learning)

 Originally published in infoproc.blogspot.com, Feb 7, 2021. This paper shows that models which result from gradient descent training (e.g., deep neural nets) can be expressed as a weighted sum of similarity functions (kernels) which measure the similarity of a given instance to the examples used in training. The kernels are defined by the inner product