Tag: Twitter

Feed: Cambridge Intelligence. Author: Federico Bozzini. It’s a fact: your friends have more friends than you do.Life isn’t a popularity contest. Which is just as well, because if it was based on the number of friends you have compared with the number your friends have, you’re likely to lose. The reassuring news is that it’s the same for pretty much all of us, thanks to the friendship paradox.Sociologist Scott L. Field’s 1991 paper, ‘Why Your Friends Have More Friends Than You Do’, identified the friendship paradox phenomenon. It’s based on the logic that the mean number of friends of friends ... Read More

Feed: R-bloggers. Author: kjytay. The glmnet function (from the package of the same name) is probably the most used function for fitting the elastic net model in R. (It also fits the lasso and ridge regression, since they are special cases of elastic net.) The glmnet function is very powerful and has several function options that users may not know about. In a series of posts, I hope to shed some light on what these options do. Here is the full signature of the glmnet function: glmnet(x, y, family=c("gaussian","binomial","poisson","multinomial","cox","mgaussian"), weights, offset=NULL, alpha = 1, nlambda = 100, lambda.min.ratio = ifelse(nobsIn ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. Antarctic/Southern Ocean science and rOpenSci Collaboration and reproducibility are fundamental to Antarctic and Southern Ocean science, and the value of data to Antarctic science has long been promoted. The Antarctic Treaty (which came into force in 1961) included the provision that scientific observations and results from Antarctica should be openly shared. The high cost and difficulty of acquisition means that data tend to be re-used for different studies once collected. Related R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R ... Read More

Feed: Blog Post – Corporate – DataStax. Author: Patrick McFadin, VP of Developer Relations. So far, we have run five out of six DataStax Developer Day events this month. After four dates in the United States, we are now on the first leg of the European tour. DataStax Developer Days are aimed at a mix of people with Cassandra skills—from those who are new to this database to those who want to expand what they do with search, analytics, and graph. However, our Developer Day in London (on November 6) surprised me by how many people wanted to discuss multi-cloud ... Read More

Feed: R-bloggers. Author: Hugo Bowne-Anderson. Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Angela Bassa, the Director of Data Science at iRobot. Here is the podcast link. Hugo: Hi there Angela, and welcome to DataFramed. Angela: Thanks, thanks for having me. Hugo: It’s a great pleasure to have you on the show, and I’m really excited to be talking about managing data science teams today, and your work at iRobot. But, before we get into this conversation, I’d love to find out a bit about you. I thought maybe you could start by telling us what you’re ... Read More

Feed: R-bloggers. Author: Brian Lee Yung Rowe. I’m pleased to share Part I of my new book “Introduction to Reproducible Science in R“. The purpose of this book is to approach model development and software development holistically to help make science and research more reproducible. The need for such a book arose from observing some of the challenges that I’ve seen teaching graduate courses in natural language processing and machine learning, as well as training my own staff to become effective data scientists. While quantitative reasoning and mathematics are important, often I found that the primary obstacle to good data ... Read More

Feed: R-bloggers. Author: ntguardian. Introduction Over the past few weeks I’ve published articles about my new package, MCHT, starting with an introduction, a further technical discussion, demonstrating maximized Monte Carlo (MMC) hypothesis testing, bootstrap hypothesis testing, and last week I showed how to handle multi-sample and multivariate data. This is the final article where I explain the capabilities of the package. I show how MCHT can handle time series data. I should mention that I’m not focused on the merits of the procedures I use as examples in these posts, and that’s going to be the case here. It’s possible ... Read More

Feed: R-bloggers. Author: John Mount. This note is about attempting to remove the bias brought in by using sample standard deviation estimates to estimate an unknown true standard deviation of a population. We establish there is a bias, concentrate on why it is not important to remove it for reasonable sized samples, and (despite that) give a very complete bias management solution. Everitt’s The Cambridge Dictionary of Statistics 2nd Edition, Cambridge University Press defines a “statistic” as: A numeric characteristic of a sample. Informally we can say a statistic is a summary. And this lets us say the field of ... Read More

Feed: Microsoft Azure Blog. Author: Morgan Grobin. The Azure Monitor team is hosting a special Ask Me Anything session on Twitter, Thursday, November 15, 2018 from 8:30 AM to 10:30 AM Pacific Time. You can tweet to @AzureMonitor or @AzureSupport with #AzureMonitorAMA. What's an AMA session? AMA stands for Ask Me Anything – this is an opportunity for Twitter users to send questions directly to the Azure Monitor Engineering team. We will be on standby to answer any questions you have about our products, services, or even our team! Why are you doing an AMA? We want to hear more ... Read More

Feed: R-bloggers. Author: Ignacio Sarmiento Barbieri. This blog post introduces the RATest package we released a while back on CRAN with my colleague and good friend Mauricio Olivares-Gonzalez. The package contains a collection of randomization tests, data sets and examples. The current version focuses on two testing problems and their implementation in empirical work, mostly related to economics. First, it facilitates the empirical researcher to test for particular hypotheses, such as comparisons of means, medians, and variances from k populations using robust permutation tests, which asymptotic validity holds under very weak assumptions, while retaining the exact rejection probability in finite ... Read More