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Today we publish our 8 research challenges where we think and can have a GAME CHANGING impact on s…
AI  datascience  from twitter_favs
4 hours ago by tnhh
Basics of Bayesian Decision Theory - Data Science Central

Basics of Bayesian Decision Theory
Posted by Kostas Hatalis on March 15, 2018 at 12:00pm View Blog
The use of formal statistical methods to analyse quantitative data in data science has increased considerably over the last few years. One such approach, Bayesian Decision Theory (BDT), also known as Bayesian Hypothesis Testing and Bayesian inference, is a fundamental statistical approach that quantifies the tradeoffs between various decisions using distributions and costs that accompany such decisions. In pattern recognition it is used for designing classifiers making the assumption that the problem is posed in probabilistic terms, and that all of the relevant probability values are known. Generally, we don’t have such perfect information but it is a good place to start when studying machine learning, statistical inference, and detection theory in signal processing. BDT also has many applications in science, engineering, and medicine.

From the perspective of BDT, any kind of probability distribution - such as the distribution for tomorrow's weather - represents a prior distribution. That is, it represents how we expect today the weather is going to be tomorrow. This contrasts with frequentist inference, the classical probability interpretation, where conclusions about an experiment are drawn from a set of repetitions of such experience, each producing statistically independent results. For a frequentist, a probability function would be a simple distribution function with no special meaning.
Bayes  DataScience 
16 hours ago by richardwinter
datasette: Instantly publish structured data to the internet with a JSON API
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
python  sqlite  api  consulting  data  datascience  dataviz 
yesterday by gregoltsov

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