You're reading from Python Data Mining Quick Start Guide

Product typeBook

Published inApr 2019

Reading LevelBeginner

PublisherPackt

ISBN-139781789800265

Edition1st Edition

Languages

Python

Concepts

Data Mining

Author (1)

Nathan Greeneltch

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Python Data Mining Quick Start Guide

Published in: Apr 2019Publisher: PacktISBN-13: 9781789800265

Author (1)

Nathan Greeneltch

Nathan Greeneltch, PhD is a ML engineer at Intel Corp and resident data mining and analytics expert in the AI consulting group. Hes worked with Python analytics in both the start-up realm and the large-scale manufacturing sector over the course of the last decade. Nathan regularly mentors new hires and engineers fresh to the field of analytics, with impromptu chalk talks and division-wide knowledge-sharing sessions at Intel. In his past life, he was a physical chemist studying surface enhancement of the vibration signals of small molecules; a topic on which he wrote a doctoral thesis while at Northwestern University in Evanston, IL. Nathan hails from the southeastern United States, with family in equal parts from Arkansas and Florida
Read more about Nathan Greeneltch

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