Blogs

Interview with Olga Korosteleva

Olga is a statistician by education and trade. She received her Ph.D. in statistics from Purdue University in 2002, where she taught statistics courses as a teaching assistant for six years. For the past 17 years she has been working as a professor of Statistics at Cal State University, Long Beach (CSULB). She has authored/co-authored 15 articles published in peer-reviewed journals, mostly in applied fields (kinesiology, nursing, and health sciences), including four books (clinical trials, minimax theory, nonparametric statistics, and advanced regressions).

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Portfolio Website Building Tutorial

Details Register on Eventbrite https://tinyurl.com/ocrug-portfolio Are you interested in building a portfolio website to showcase your work? Then come to this tutorial and get hands-on instruction on how to build-out a data analyst/data scientist website. We will be using Rstudio to create the prototype site and publish it using github and netlify. Space is limited. Before the event, please make sure that you meet the following requirements: * A laptop * A recent version of R and Rstudio * Github account - https://github.

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Data Science Hackathon - **Signup on Eventbrite not Meetup**

Details We are excited to announce that the second Orange Country R Users Group (OCRUG) data science hackathon now has tickets available. It is a weekend-long event on Nov 09 and 10th. You can purchase tickets on eventbrite. https://tinyurl.com/hackathon-2019-11 This is the first Orange Country R Users Group (OCRUG) data science hackathon. During this event, we will be exploring an interesting data set, starting from the raw data all the way through to a final “end product” (e.

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Advanced Regression Models with R Applications

Details **SIGN UP ON EVENTBRITE ** https://www.eventbrite.com/e/ocrug-advanced-regression-models-with-r-applications-tickets-70416075377 In this workshop, we will talk about a variety of regression models, give their definitions, discussing goodness-of-fit criteria, presenting fitted models, interpreting estimated regression coefficients, and using the fitted models for prediction. The models will be limited to: linear regression, Box-Cox transformation, gamma regression, ordinary logistic regression, Poisson regression, beta regression, longitudinal (repeated measures) regression, and hierarchical model. The workshop is designed to be hands-on.

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Convolutional Neural Networks and Using C++ in R with Rcpp

Details Introduction Ash will cover the architecture of Convolutional Neural Networks (CNN). The Convolution and Pooling operations will be covered. Tools for building a CNN are R and TensorFlow. The implementation of CNN in R will be demonstrated. Luke will talk about using C++ in R. Are is a beautiful language but some operations can be slow. The RCpp package makes this an easy talk and can drastically improve the performance of your code.

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Advanced Regressions and High-performance Computing

Details Introduction Dr. Olga, a professor at CSU Long Beach will give a talk and advanced regression models. It is based on her recently released book “Advanced Regression Models with SAS and R.” This will also be a great introduction to the short course that we are planning for September. Check out the book at https://www.amazon.com/dp/1138049018/ George G Vega Yon will be talking about doing high-performance computing in R. He will discuss the ‘parallel’ package for parallel computing, Rcpp integrating C++ R, RcppArmadillo which is a linear algebra library and OpenMP which is an API for multiprocessing applications.

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Error and Condition Handling and, LDA Analysis of Cancer Genes

Details Introduction This month, John Peach will give a talk on the basics of using the error handling system in R. He will also give a brief overview of the Condition Signalling system that it is based on. This is a powerful messaging system that is used for messages, warnings, errors and so much more. We also are delighted that Zhi Yang will discuss the used of topic modelling in the analysis of cancer genetics.

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Integrating React.js and Shiny, and UCI Capstone

This month we have Alan Dipert from RStudio coming to talk about integrating React.js and Shiny. Alan is one of the key developers behind the development of Shiny and we are so lucky to have him there to share his knowledge. The Paul Merage School of Business at UCI is graduating their second cohort of students from their MS in Business Analytics program. Last year we invited them to present their Capstone projects and it was a huge success, so they are back this year.

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Making an R package with usethis, and UCI Capstone

Details This month we have Emil Hvitfeldt coming to talk about making an R package with usethis. Building your code into R packages is simple and allows you to easily manage and reuse your code. The Paul Merage School of Business at UCI is graduating their second cohort of students from their MS in Business Analytics program. Last year we invited them to present their Capstone projects and it was a huge success, so they are back this year.

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Deep Learning using R, REST APIs and Shiny

These talks will be held on Monday, April 29th, 2019. #=== Talks Speaker: Ash Pahwa Title: Deep Learning using R and TensorFlow (Part 2) Abstract: Google released TensorFlow software in 2015 targeted for the Deep Learning applications. Two primary misconceptions about TensorFlow are as follows. First, it can only be used with Python and second, it can only be used for building deep learning applications This talk will demystify these concepts.

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