Animation showing the hierarchy of health research since 1947
@drmohidkhan: This is amazing: the hierarchy of diseases studied in the last 70 years! From https://t.co/aANCZti0Io #research #clinicalresearch #letstalkaboutnets https://t.co/xWUe5Jq56P
@drmohidkhan: This is amazing: the hierarchy of diseases studied in the last 70 years! From https://t.co/aANCZti0Io #research #clinicalresearch #letstalkaboutnets https://t.co/xWUe5Jq56P
It’s no secret that data science is a good career path. The jobs are in demand, the salaries are compelling, and the work is interesting. So how does someone break in?
In particular, I’m interested in how an experienced IT professional can move into data science. What advice would you give to someone with, say, five years of computing experience, who wants to break into the field? Tell me about the skills required, where you’d tell your friend to go to acquire them, and how to get a job without a specialized degree. What would make you say, “I want to hire this person, even if the individual lacks the relevant schooling”?
It's obviously bad when "real" data like full names and credit card info leaks, but most data companies collect is probably email address and some anonymous things like which buttons and when the user clicked.
Nevertheless, such data collection, tracking and telemetry is considered quite bad among power users. I don't support those practices either. But I'm struggling to consolidate my arguments agaist data collection. The one I'm confident about is effects on performance and battery life on mobile devices, but why else it's bad I'm not sure.
What are your arguments? Why is it bad when a company X knows what anonymous user Y did and made money on that info? What's the good response to anyone who asks why I'm doing the "privacy things"?
@jeremyburge: For years Facebook claimed the adding a phone number for 2FA was only for security. Now it can be searched and there's no way to disable that.