Principled Data Processing

; Date: Wed May 22 2019

Tags: Data Science

Data Science, and Machine Learning, looks like regular software engineering. But software engineering tools do not work well in either field. Instead other kinds of tools are required. This talk goes over some project management problems in Data Science, that also apply to Machine Learning, discusses some principles on solving the problems, and presents a methodology that the presenter found useful in managing his data science projects.

About the Author(s)

(davidherron.com) David Herron : David Herron is a writer and software engineer focusing on the wise use of technology. He is especially interested in clean energy technologies like solar power, wind power, and electric cars. David worked for nearly 30 years in Silicon Valley on software ranging from electronic mail systems, to video streaming, to the Java programming language, and has published several books on Node.js programming and electric vehicles.
Build an inexpensive spectrometer, and an inexpensive IR video camera, using a Raspberry Pi Wikileaks founder Assange faces Espionage charges, but nothing on his role in Trump-Russia conspiracy