R
Over time, Python and R have established themselves as the leading languages for Data Science. The rise of both has not been frictionless, though, as the two communities have ‘clashed’ over philosophical differences as each side recruits Data Science newcomers. R users will recommend that R is the better... Read more
Data science is an interdisciplinary endeavor, and it serves the purpose of extracting insight from varying sources of information. Various communities come together at Data Science Conferences to share their knowledge and promote innovation. It is not surprising, then, that the tools showcased by data scientists at ODSC East... Read more
Intro to Text mining using R
Abstract: Attendees will learn the foundations of text mining approaches in addition to learn basic text mining scripting functions used in R. The audience will learn what text mining is, then perform primary text mining such as keyword scanning, dendogram and word cloud creation. Later participants will be able... Read more
Using Open Source Solutions in Sports Business Operations – Matthew Wills ODSC Boston 2015
Using Open Source Solutions in Sports Business Operations from odsc This presentation will overview how the Grizzlies apply the use of R to their sales and marketing business operations. From basic data manipulation, to statistical modeling and enhanced visualization, the Grizzlies utilize R as a tool that efficiently positions... Read more
Intro to Text Mining Using tm, openNLP and topicmodels – Ted Kwartler ODSC Boston 2015
Intro to Text Mining Using tm, openNLP and topicmodels from odsc You will learn how modern customer service organizations use data to understand important customer attributes and how R is used for workforce optimization. Topics include real world examples of how R is used in large scale operations to... Read more
Predictive Modeling Workshop – Max Kuhn ODSC Boston 2015
Predictive Modeling Workshop from odsc The workshop is an overview of creating predictive models using R. An example data set will be used to demonstrate a typical workflow: data splitting, pre-processing, model tuning and evaluation. Several R packages will be shown along with the caret package which provides a... Read more
Making R Go Faster and Bigger – Jared Lander ODSC Boston 2015
http://bit.ly/JaredLanderPresentation The features of R that make it easy to use–dynamically typed, in-memory analysis, the interpreter engine and REPL–can also slow it down. Fortunately the R Core Team has made dramatic improvements in recent years with better memory management and faster interpretation of code. We look at some of... Read more
Max Kuhn, Zachary Deane-Mayer – The Development Process for the caret Package ODSC Boston 2015
The caret package is a unified interface to a large number of predictive model functions in R. from odsc The caret package is a unified interface to a large number of predictive model functions in R. First created in 2005, the home for the source code and documentation has... Read more
How to Quantify Culture – ODSC Boston 2015
How to Quantify Culture: Introduction to R Workshop from freshdatabos Read more