Packt Publishing
Hizmet
3.9
/5
Ürün
4.4
/5
5
4
3
2
1
0
0
0
0
0
0
boyunca
{{number}} puanlama
Set up the R environment Create a classification model to predict and explore discrete variables Get acquainted with Probability Theory to analyze random events Build Linear Regression models Use Bayesian networks to infer the probability distribution of decision variables in a problem Model a problem using Bayesian Linear Regression approach with the R package BLR Use Bayesian Logistic Regression model to classify numerical data Perform Bayesian Inference on massively large data sets using the MapReduce programs in R and Cloud computing
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