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Shahab Sheikh-Bahaei
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  • Silicon Valley, CA
  • United States
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Michael Bryan commented on Shahab Sheikh-Bahaei's blog post The E-Dimension: Why Machine Learning Doesn’t Work Well for Some Problems?
"Great work. There's an implication here - to open the black box of neural net layers - to name the emergent dimensions.  Structural Equation Modeling and Agent Based Modelling also benefit."
Apr 26

Profile Information

Company:
InterTrust, IBM
Job Title:
Principal Data Scientist
Seniority:
Technical
Industry:
Big Data Analytics
LinkedIn Profile:
http://https://www.linkedin.com/in/shahab-sheikh-bahaei-4a35b5b
Interests:
Finding a new position, Networking

Shahab Sheikh-Bahaei's Blog

The E-Dimension: Why Machine Learning Doesn’t Work Well for Some Problems?

Posted on July 6, 2017 at 4:30pm 1 Comment

Why Machine Learning Doesn’t Work Well for Some Problems?

Shahab Sheikh-Bahaei, Ph.D.*

Principal Data Scientist

Intertrust Technologies.

Introduction

Machine Learning (ML) is closely related to computational statistics which focuses on prediction-making through the use of computers. ML is a modern approach to an old problem:  predictive inference. It makes an inference from “feature” space to “outcome/target” space.…

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