2071 search results for "regression"

Multiple Tests, an Introduction

September 24, 2014
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Multiple Tests, an Introduction

Last week, a student asked me about multiple tests. More precisely, she ran an experience over – say – 20 weeks, with the same cohort of – say – 100 patients. An we observe some size=100 nb=20 set.seed(1) X=matrix(rnorm(size*nb),size,nb) (here, I just generate some fake data). I can visualize some trajectories, over the 20 weeks, library(RColorBrewer) cl1=brewer.pal(12,"Set3") cl2=brewer.pal(8,"Set2") cl=c(cl1,cl2)...

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In-depth introduction to machine learning in 15 hours of expert videos

September 23, 2014
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In-depth introduction to machine learning in 15 hours of expert videos

In January 2014, Stanford University professors Trevor Hastie and Rob Tibshirani (authors of the legendary Elements of Statistical Learning textbook) taught an online course based on their newest textbook, An Introduction to Statistical Learning with Applications in R (ISLR). I found it to be an excellent course in statistical learning (also known as "machine learning"), largely...

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Accelerating the Random Forest Algorithm, I: the Algorithm

September 22, 2014
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The Random Forest algorithm is a well-known tool for data analysis. It yields robust predictive models for vastly different data sets, serving as a sort of Swiss Army Knife in the data scientist's toolkit. Given the need to accommodate ever-larger data sets, scalable...

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Build Predictive Model on Big data: Using R and MySQL Part-3

September 21, 2014
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Build Predictive Model on Big data: Using R and MySQL Part-3

Welcome to last part of the series post again! In previous part I discussed about the solutions to the questions mentioned in first part. In this part, we will implement whole scenario using R and MySQL together and see how we can process bigdata(computationally ) Let us recall those questions and summarize their answers to The post Build...

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Build Predictive Model on Big data: Using R and MySQL Part-2

September 21, 2014
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Build Predictive Model on Big data: Using R and MySQL Part-2

Welcome to the second part of the series blog posts. In first part we tried to understand the challenges of fitting predictive model to the large dataset. In this post I will discuss about the solution approach to that challenges. Let’s start rolling. As machine learning technique requires accessing whole dataset for fitting model on The post Build...

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Build Predictive Model on Big data: Using R and MySQL Part-1

September 21, 2014
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Build Predictive Model on Big data: Using R and MySQL Part-1

Wellcome to the series blog posts. Since long time, I am writing post on Machine learning with R. Today I am gonna discuss on big data problem while fitting machine learning on it and its solution using MySQL and R. Before we jump directly to solution, let us discuss about big data little bit. (You The post Build...

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Comparing machine learning models in R

September 18, 2014
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Comparing machine learning models in R

by Joseph Rickert While preparing for the DataWeek R Bootcamp that I conducted this week I came across the following gem. This code, based directly on a Max Kuhn presentation of a couple years back, compares the efficacy of two machine learning models on a training data set. #----------------------------------------- # SET UP THE PARAMETER SPACE SEARCH GRID ctrl <-...

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RDataMining Slides Series

September 14, 2014
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RDataMining Slides Series

by Yanchang Zhao, RDataMining.com I have made a series of slides on R and data mining, based on my book titled R and Data Mining — Examples and Case Studies. The slides will be used at my presentations at seminars … Continue reading →

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Save your simulation study seeds

September 11, 2014
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Save your simulation study seeds

Here in the Northern hemisphere, gardeners are gathering seeds from their prize-winning vegetables are storing them away for next year’s crop. Today at the 20th London Stata Users’ Group meeting, I learnt a similar trick. It’s strange I never thought … Continue reading →

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ASDAR book Review

September 8, 2014
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ASDAR book Review

I was recently invited to write a book review for Applied Spatial Analysis and Policy (ASAP). The book, I conclude, “is the authoritative resource on R’s spatial capabilities” and should be of interest to many R users. Below is a preprint of the full review, now published on ASAP’s website. As a geographer and heavy R user,...

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