July 2016
Beginner to intermediate
462 pages
9h 14m
English
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Determining bias
When teaching probability, it is customary to give examples of coin tosses. Whether it is going to rain or not is more or less like a coin toss. If we have two possible outcomes, the binomial distribution is appropriate. This distribution requires two parameters: the probability and the sample size.
In statistics, there are two generally accepted approaches. In the frequentist approach, we measure the number of coin tosses and use that frequency for further analysis. Bayesian analysis is named after its founder the Reverend Thomas Bayes. The Bayesian approach is more incremental and requires a prior distribution, which is the distribution we assume before performing experiments. The posterior distribution is the distribution ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.