If you browse r/MachineLearning you’ve probably seen some posts over the last couple weeks about Siraj Raval, a YouTube personality working to build a name for himself as an online data science educator. He’s recently been under fire for plagiarism, exaggeration of his skills, and milking the data science hype for a quick buck.

While Siraj’s list of offenses is varied, I think there’s an underlying theme of self deception. The idea of telling ourselves white lies is nothing new and data science is not immune to it; in fact, there may be aspects of the field that make it even more common. I’ve thought about my career — what I’ve seen — and three types of lies stand out.

Source: towardsdatascience.com
Author: Matt Yancey