Tag: distribution

Feed: Cloudera Blog. Author: George Vetticaden. Posted in Technical | June 09, 2022 5 min read In the first blog of the Universal Data Distribution blog series, we discussed the emerging need within enterprise organizations to take control of their data flows. From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way. With the rapid increase of cloud services where data needs to be delivered (data lakes, lakehouses, cloud warehouses, cloud streaming systems, cloud business processes, etc.), controlling distribution while also ... Read More

Feed: Neo4j Graph Data Platform. Author: Yolande Poirier. We are very proud to announce the 2022 Neo4j Connected Data Fellowship in partnership with the International Consortium of Investigative Journalists (ICIJ). The fellowship, first initiated in 2017, is inspired by the ability of graph databases to strengthen reporting and help journalists understand large datasets. This technology was essential in uncovering ICIJ’s prize-winning investigations, including the Panama Papers, Pandora Papers, and the FinCEN Files. The 2022 fellowship brings an independent, dedicated data scientist to work with the ICIJ to help make sense of complex data and promote greater transparency. The ICIJ ... Read More

Feed: Recent Announcements. Today, we are pleased to announce the general availability of AWS support for Kubeflow v1.4. Kubeflow on AWS streamlines data science tasks and helps build highly reliable, secure, portable, and scalable ML systems with reduced operational overheads through integrations with AWS managed services. You can use this Kubeflow distribution to build ML systems on top of Amazon Elastic Kubernetes Service (Amazon EKS) to build, train, tune, and deploy ML models for a wide variety of use cases, including computer vision, natural language processing, speech translation, and financial modeling. Kubeflow on AWS provides a clear path to use ... Read More

Feed: SAS Blogs. Author: Carlos Pinheiro. The Vehicle Routing Problem (VRP) algorithm aims to find optimal routes for one or multiple vehicles visiting a set of locations and delivering a specific amount of goods demanded by these locations. Problems related to the distribution of goods, normally between warehouses and customers or stores, are generally considered vehicle routing problems. The VRP was first proposed by Dantzig and Ramser in the paper "The Truck Dispatching Problem," published in 1959 by INFORMS in volume 6 of the Management Science journal. This paper searches for an optimal route for a fleet of gasoline delivery ... Read More

Feed: SAS Blogs. Author: Rick Wicklin. Recently, I wrote about Bartlett's test for sphericity. The purpose of this hypothesis test is to determine whether the variables in the data are uncorrelated. It works by testing whether the sample correlation matrix is close to the identity matrix. Often statistics textbooks or articles include a statement such as "under the null hypothesis, the test statistic is distributed as a chi-square statistic with DF degrees of freedom." That sentence contains a lot of information! Using algebraic formulas and probability theory to describe a sampling distribution can be very complicated. But ... Read More

Feed: Redis. Author: Suzanne Kenney. In today’s age, modern enterprises require their applications to have high availability across the globe. Thankfully, ensuring high availability for their customers all over the world doesn’t have to be complicated. In this webinar, join Redis and Microsoft to learn how to configure and leverage Active-Active geo-distribution on the Azure Cache for Redis Enterprise platform. Active-Active deployment allows businesses to create global applications that provide local sub-millisecond read/write latencies with considerably better resilience to failure. During this session, you’ll learn the differences between Azure Cache for Redis and the Azure Cache for Redis Enterprise tiers ... Read More

Feed: SAS Blogs. Author: Rick Wicklin. The graph to the right is the quantile function for the standard normal distribution, which is sometimes called the probit function. Given any probability, p, the quantile function gives the value, x, such that the area under the normal density curve to the left of x is exactly p. This function is the inverse of the normal cumulative distribution function (CDF). Did you know that this curve is also the solution of a differential equation? You can write a nonlinear second-order differential equation whose solution is exactly the probit ... Read More

Feed: R-bloggers. Author: Chris Paciorek. [This article was first published on R – NIMBLE, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. We’ve released the newest version of NIMBLE on CRAN and on our website. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC and SMC). Version 0.12.2 is a bug fix release. In particular, this release fixes a ... Read More

Feed: R-bloggers. Author: Keith Goldfeld. [This article was first published on ouR data generation, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In the previous post I described how to determine the parameter values for generating a Weibull survival curve that reflects a desired distribution defined by two points along the curve. I went ahead and implemented these ideas in the development version of simstudy 0.4.0.9000, expanding the idea to allow for any ... Read More

Feed: R-bloggers. Author: Keith Goldfeld. The package simstudy has some functions that facilitate generating survival data using an underlying Weibull distribution. Originally, I added this to the package because I thought it would be interesting to try to do, and I figured it would be useful for me someday (and hopefully some others, as well). Well, now I am working on a project that involves evaluating at least two survival-type processes that are occurring simultaneously. To get a handle on the analytic models we might use, I’ve started to try to simulate a simplified version of the data that we ... Read More