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Data Analysis: A Bayesian Tutorial Devinderjit Sivia, John Skilling
Publisher: Oxford University Press, USA

One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. Core KNIME features include: .. If you are a newly initiated student into the field of machine learning, it won't be long before you start hearing the words “Bayesian” and “frequentist” thrown around. @Luis, I think Data Analysis: A Bayesian Tutorial (http://www.amazon.com/Data-Analysis-Bayesian-Tutorial-Publications/dp/0198518897) is just such a book. One key behind the success of KNIME is its inherent modular workflow approach, which documents and stores the analysis process in the order it was conceived and implemented, while ensuring that intermediate results are always available. Many people around you probably have strong opinions on For a more detailed overview of this material, see the tutorial by North [11]. Clustering A tutorial on support vector regression. Induction and deduction in bayesian data analysis. What distinguishes the Bayesian approach in particular is .. Naive Bayes Predictor - Uses the naive Bayes model from the naive Bayes learner to predict the class membership of each row in the input data.