Machine Learning Times
Machine Learning Times
Coursera’s “Machine Learning for Everyone” Fulfills Unmet Training Requirements
  My new course series on Coursera, Machine Learning...
Segmentation and RFM Analysis in the World of Wine and Spirits
 Segmentation is a hot word these days, and it...
How Machine Learning Works – in 20 Seconds
  This transcript comes from Coursera’s online course series,...
4 IoT Devices in Healthcare Making An Impact Now

Neural Networks

Dealing with Overconfidence in Neural Networks: Bayesian Approach

 Originally published in Jonathan Ramkissoon Blog, July 29, 2020. I trained a multi-class classifier on images of cats, dogs and wild animals and passed an image of myself, it’s 98% confident I’m a dog. The problem isn’t that I passed an inappropriate image, because models in the real world are passed all sorts of garbage.

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