How is it for image recognition/classification? OCR can be a huge chunk of the image classification pipeline. Presumably, it works just as well in this domain?
The book talks and tells stories about the history of statistics, probability and risk. I came first from a poker background before I did my BA then MSc in Math & Stats. It reignited some of my dwindling passion.
I think this article missed the mark by leaving out all context.
They don't mention the black employees role. Some roles at Google are relatively more diverse. It would be interesting to hear if his peers were diverse but not opinionated, or perhaps they were opinionated but not as much as he was. Or if his peer were not diverse and not opinionated, etc.
The article mentions a team but doesn't clarify if he was on a team or if it was a team of subordinates. If my boss was black and the topic of police brutality came up, I'd avoid saying anything as well.
Lastly, "And though I eventually grew more comfortable using challenging moments to educate my co-workers..." comes across poorly. Depending on how I felt a coworker was consistently trying to "educate" me regarding social issues, I could see myself purposefully avoiding those topics around them and not engaging.
