statistics by Terry M. Therneau Ph.D.Faculty, Mayo Clinic About a year ago there was a query about how to do "type 3" tests for a Cox model on the R help list, which someone wanted because SAS does it. The SAS addition looked suspicious to me, but as the author of the survival package I thought I should understand the issue more deeply. It took far longer than I expected but has been illuminating. First off, what exactly is this 'type 3' computation of which SAS so deeply enamored?
Learn Data Science by nborwankar Who Nitin Borwankar - primary developer (Sponsored by Pivotal Inc. and Alpine Data Labs). What A collection of Data Science Learning materials in the form of IPython Notebooks.Associated data sets. The One-Stop Shop for Big Data Today, I’m going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper. Once you know what they are, how they work, what they do and where you can find them, my hope is you’ll have this blog post as a springboard to learn even more about data mining. What are we waiting for? Let’s get started! Here are the algorithms: Steve's Machine Learning Blog: Top Ten Reason To "Kaggle" Do you aspire to do Machine Learning, Data Science, or Big Data Analytics? If so, you have probably studied, taken courses, read a bunch of blog posting and can code up some R, Python or Matlab. Are you ready to start solving real world problems?
Our top 10 Data Science articles in 2014 2014 has been a year of growth for us. We now get 10x traffic compared to what we used to get 12 months back. It gives us immense satisfaction to be able to create something which is helping more and more people every day. We only hope that we could get some more time to create more content for our audience! Not only we wrote more articles and better articles in 2014, we also started a jobs listing and a trainings listing page While we are on the brink of entering into 2015, I thought it might be a good time to recap some of the best articles we have written in 2014.
Product Overview - Big Data Analytics - Datameer Integrate, prepare, analyze and visualize any data Datameer simplifies the big data analytics environment into a single application on top of the powerful Hadoop platform. The only end-to-end big data analytics application for Hadoop designed to make big data simple for everyone, Datameer combines self-service data integration, analytics and visualization functionality that provides the fastest time to insights. Data integration Liberate your data Data is the raw materials of insight and the more data you have, the deeper and broader the possible insights.
A Practical Intro to Data Science — Zipfian Academy - Data Science Bootcamp Are you a interested in taking a course with us? Learn more on our programs page or contact us. There are plenty of articles and discussions on the web about what data science is, what qualities define a data scientist, how to nurture them, and how you should position yourself to be a competitive applicant. Deniz Yuret's Homepage: Machine learning in 10 pictures I find myself coming back to the same few pictures when explaining basic machine learning concepts. Below is a list I find most illuminating. 1. Test and training error: Why lower training error is not always a good thing: ESL Figure 2.11. Test and training error as a function of model complexity.
Must read books for Analysts (or people interested in Analytics) One of the ways I continue my learning is reading. I read for 30 minutes before hitting the bed every day. This not only makes sure that I learn some thing daily, but also ends my day in a fulfilling manner. Over the years, I have read a variety of books on various subjects. In this article, I will share a list of 7 must read books, which I think should be present in every Analyst’s bookshelf.