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All Blog Posts Tagged 'bayes' (4)

Naive Bayes in One Picture

Naive Bayes is a deceptively simple way to find answers to probability questions that involve many inputs. For example, if you're a website owner, you might be interested to know the probability that a visitor will make a purchase. That question has a lot of "what-ifs", including time on page, pages visited, and prior visits. Naive Bayes essentially allows you to take the raw inputs (i.e. historical data), sort the data into more meaningful chunks, and input them into a formula. …

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Added by Stephanie Glen on April 25, 2019 at 10:00am — No Comments

Bayesian Probability

The sigmatoid Bayesian, according to SEP, connects to a reverend called Thomas Bayes (circa 1700).

Bayesian Probability is like a reaction to the Mathematical Probability: what about our…

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Added by Marcia Ricci Pinheiro on February 16, 2019 at 11:30pm — No Comments

Bayesian Nonparametric Models

Bayesian Nonparametrics is a class of models with a potentially infinite number of parameters. High flexibility and expressive power of this approach enables better data modelling compared to parametric methods.

Bayesian Nonparametrics is used in problems where a dimension of interest grows with data, for example, in problems where the number of features is not fixed but allowed to vary as we observe more…

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Added by Luba Belokon on October 12, 2017 at 3:00pm — No Comments

High Performance Computing + Data Science = Competitive Advantage

High Performance Computing (HPC) plus data science allows public and private organizations get…

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Added by Michael Walker on September 17, 2013 at 12:28pm — 1 Comment

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