statistics

Only when you hit that 40% number(or something in that range) 93.5% of bloggers make up bullshit statistics.

Here are some more statistics, which seem to show that police work is not getting any more dangerous.

You'll need a deep foundation of statistics and probabilities, strong coding skills, and real-world machine learning experience.

The statistics came from a European government website where they listed US and European nation government debt.

This is the perfect role for a good engineer looking to level up their statistics/data science.

If there were any statistics available to back these statements up, don't you think the far right would be trumpeting them for all they're worth?

Mankiw noted that when CBO statistics are used, taking into account all taxation, not just income taxes, the United States have a very progressive tax system.

A privacy-busting determined enemy could generate hashes of large number of public sites and use statistics to infer what sites you've visited just from your hashes.

I think a better path would've been to actually do the research, write an article with citations and statistics, and prove that he is right.

----------------------------- What you'll do ----------------------------- You will help build out the statistics pipeline and machine learning models to power an algorithmic trading infrastructure.

Three things: * - Because racial statistics are forbidden in Europe, whenever someone complains that element from a certain group are causing problems their opinion is immediately dismissed as being racist.

I've never been remotely as good as any of them (nor Ronda Rousey), but eventually, when you defy the statistics for long enough, you become looked at as a modern-day Superman.

I don't have any reliable statistics, but that would suggest that the "book internet" may be shrinking.

Lacking an organized criminal element, Appalachia presents not significantly more (nor less) danger to well-off tourists than any other area where poor people live and a few will -by statistics- be criminals; and considerably less than various cities, certainly various neighborhoods, where robbery and other violent crime are common and more or less an "industry."

There's lot of tracking being done, lots of people looking at "metrics", but when I think about the statistics education of majority of people (including some professional "social media marketers" I know) I come to the conclusion that they don't understand what they're doing and can prove any conclusion they want with the numbers.

My specialties are Rails, Postgres, Chef, and Ember, although I've also done some iOS and Python Machine Learning/Statistics projects.

Position 2: Machine Learning/Algorithms Scientist We're also looking for someone with a strong background in DSP/Statistics/Machine Learning to optimize (both in efficiency and performance) our current algorithms.