Summary: If you’re planning your AI/ML business strategy watch out for the confusion in categories and overly risky ratings given by some research and review sources. Read the research, then consult with your own data scientists for a better evaluation of risk. It’s likely not as bad as you think.Continue
Added by William Vorhies on March 2, 2020 at 12:42pm — No Comments
TL;DR: A Data Scientist is a data pipeline plumber. Analytics are icing, not cake.
This article is written specifically for unemployed and underemployed graduates of math intensive subjects like physics and statistics. Others may have more to prove.
After writing my introductory reviews of ETL and…Continue
Every time a new technology disrupts the job market a "skills shortage" is debated between economists and politicians. The story isn't new - 10 years ago recruiters were asking for programmers with 10+ years experience in Java. The gap is widened by non-technical recruiters employing rigid traditional hiring practices. The truth is that there are all kinds of smart people with relevant skills that don't fit into HR's pigeonhole - we're generalists, not specialists. The onus…Continue
Added by Peter Higdon on April 28, 2014 at 1:08am — No Comments