True story (no really, this did actually happen). While in grad school one of the other teaching assistants was approached by one of the students and was asked “will mu go out with median?” The teaching assistant thought the play on words was pretty funny, laughed, and then cluelessly walked away. All of us other grad students [...]
Tree methods such as CART (classification and regression trees) can be used as alternatives to logistic regression. It is a way that can be used to show the probability of being in any hierarchical group. The following is a compilation of many of the key R packages that cover trees and forests. The goal here [...]
A fair complaint when seeing yet another “data science” article is to say: “this is just medical statistics” or “this is already part of bioinformatics.” We certainly label many articles as “data science” on this blog. Probably the complaint is slightly cleaner if phrased as “this is already known statistics.” But the essence of the [...] Related posts: A Personal Perspective on Machine Learning Setting expectations in data science projects…
I was fortunate enough to have been able to attend the Amazon AWS Summit in NYC and to listen to Werner Vogels give the keynote. I will share a few of my thoughts on the AWS 2013 Summit and some of my take-aways. I attended sessions that focused on two products in particular: Redshift and [...]
********************************************************************* The 11th Australasian Data Mining Conference (AusDM 2013) Canberra, Australia, 13-15 November 2013, http://ausdm13.togaware.com Join us on LinkedIn: http://www.linkedin.com/groups/AusDM-4907891 ********************************************************************* Data mining, the art and science of intelligent analysis of (usually large) data sets for meaningful (and previously unknown) … Continue reading →
Call for participation: DMApps 2013 – an International Workshop on Data Mining Applications in Industry and Government in conjunction with PAKDD 2013, Gold Coast, Australia, April 14, 2013 http://dmapps2013.rdatamining.com To attend the workshop, you need to register for PAKDD 2013 … Continue reading →
R and Data Mining: Examples and Case Studies Author: Yanchang Zhao Publisher: Academic Press, Elsevier Publish date: December 2012 ISBN: 978-0-12-396963-7 Length: 256 pages URL: http://www.rdatamining.com/books/rdm This book introduces into using R for data mining with examples and case studies. … Continue reading →
There are two online courses starting soon on Coursera, which are free to register. 1. Data Analysis (with R) It is a 8-week online course starting on Jan 22nd 2013 <https://www.coursera.org/course/dataanalysis>. This course is an applied statistics course focusing on … Continue reading →
R code and data for book “R and Data Mining: Examples and Case Studies” are now available at http://www.rdatamining.com/books/rdm/code. An online PDF version of the book (the first 11 chapters only) can also be downloaded at http://www.rdatamining.com/docs. Below are its … Continue reading →
Kaggle is hosting an educational data mining competition: Kaggle Digit Recognizer, using MNIST data. Handwritten digit recognition is one of the few applications that kNN classifier performs well. Of course, the benchmark kNN classifier provided ...
