An R Introduction to Statistics | R Tutorial

Time 2020-06-22 07:06:42

Web Name: An R Introduction to Statistics | R Tutorial

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Deep learning has a wide range of applications, from speech recognition,computer vision, to self-driving cars and mastering the game of Go. While theconcept is intuitive, the implementation is often tedious and heuristic. Wewill take a stab at simplifying the process, and make the technology moreaccessible.Linear regression probably is the most familiar technique in data analysis, but itsapplication is often hamstrung by model assumptions. For instance, if the data has ahierarchical structure, quite often the assumptions of linear regression are feasibleonly at local levels. We will investigate an extension of the linear model to bi-levelhierarchies.Despite prowess of the support vector machine, it is not specifically designed toextract features relevant to the prediction. For example, in network intrusiondetection, we need to learn relevant network statistics for the network defense. Inconsumer credit rating, we would like to determine relevant financial records for thecredit score. As for medical genetics research, we aim to identify genes relevant to theillness.A variation of the standard definition of Kendall correlation coefficient is necessary inorder to deal with data samples with tied ranks. It known as the Kendall s tau-bcoefficient and is more effective in determining whether two non-parametric data samples with ties are correlated.In our last tutorial on SVM training with GPU, we mentioned a necessary step topre-scale the data with rpusvm-scale, and to reverse scaling the prediction outcome.This cumbersome procedure is now simplified with the latest RPUSVM.With the distance matrix found in previous tutorial, we can use various techniques ofcluster analysis for relationship discovery. For example, in the data set mtcars, wecan run the distance matrix with hclust, and plot a dendrogram that displays ahierarchical relationship among the vehicles. A little Learning is a dang'rous Thing;Drink deep, or taste not the Pierian Spring:There shallow Draughts intoxicate the Brain,And drinking largely sobers us again. Alexander PopeAn Essay on Criticism

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An R introduction to statistics that explains basic R concepts and illustrates with statistics textbook homework exercises.

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