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Sampling

Drake’s Dad Says New Track Sampling Kim Kardashian Is Not a Kanye Troll

Drake’s dad has addressed the chatter surrounding a recently previewed track from his son that featured a Kim Kardashian sample.The track in question, tentatively titled “Rescue Me,” was previewed for fans during an episode of The Fry Yiy Show on SiriusXM Radio over the weekend. It features a sample of Kim taken from the series finale of Keeping Up With the Kardashians, specifically her declaration that she “didn’t come this far, just to come this far and not be happy.”These comments, of course, were originally delivered…

Drake Shares Preview of New Song Sampling Kim Kardashian

Drake has shared a preview of a new track believed to be titled “Rescue Me,” and it features a sample of Kim Kardashian discussing her divorce with the artist formerly known as Kanye West.On the latest episode of Sound 42’s The Fry Yiy Show on SiriusXM Radio, an unreleased Drizzy song surfaced. On the track, he sampled a line of dialogue from Kim K as she talked about her decision to separate from Ye. “I didn’t come this far, just to come this far and not be happy. Remember that,” she said in the clip, which comes from…

Mathematician uncovers methods to shrink sampling errors in large-dimensional data sets

Shrinkage of the sample eigenvector h along the line connecting h and m(h)1 in Euclidean space (Left) and projected on the unit sphere (right). Credit: Proceedings of the National Academy of Sciences (2023). DOI: 10.1073/pnas.2207046120 A professor in Florida State University's Department of Mathematics has made a breakthrough that will allow scientists across academic disciplines and financial institutions to shrink sampling…

Step-by-Step Guide to Generate Synthetic Data by Sampling From Univariate Distributions | by Erdogan Taskesen | Mar, 2023

Learn how to create synthetic data in case your project runs low on data or use it for simulationsPhoto by Debby Hudson on UnsplashData is the fuel in Data Science projects. But what if the observations are scarce, expensive, or difficult to measure? Synthetic data can be the solution. Synthetic data is artificially generated data that mimics the statistical properties of real-world events. I will demonstrate how to create continuous synthetic data by sampling from univariate distributions. First, I will show how to…

BIA On Working With Timbaland on “I’m That Bitch,” Sampling Missy Elliott

BIA is officially “That Bitch.” On Friday, the Massachusetts artist released her latest single—a drill empowerment song produced by Timbaland. After a three-week lull, she’s coming back strong as she gears up for a slew of releases she says are “definitely experimental.”The cover art for “I’m That Bitch” is directly inspired by Missy Elliott’s 1999 album Da Real World, which saw the iconic rapper rocking a white button-up with a black tie and black corset on top. BIA’s version brings that same boss babe attitude; styled…

Variance Reduction with Importance Sampling | by Herman Michaels | Jan, 2023

Mathematical explanation and Python implementationPhoto by Edge2Edge Media on UnsplashIn a previous post I introduced different numerical sampling techniques, one of them being importance sampling. In that post we used this technique to allow sampling from complex distributions, sampling from which would otherwise be infeasible. However, importance sampling is frequently used for another reason, namely variance reduction: that is, by choosing a suited proposal distribution we can reduce the variance of our estimator —…

Sampling — The Unsung Hero of Data Science | by Farzad Mahmoodinobar | Jan, 2023

Sampling: Methodologies, Implementation and ComparisonOne, representing all, by DALL.E 2Sampling is widely adopted in various businesses to audit and measure change — I know that sounds simple but it is more complicated than it seems. I see a lot of focus on Machine Learning in today’s Data Science work but without a well-designed and representative sample, all that effort might not bear fruit. For example, after training a brand new Machine Learning model variant, we need a representative sample to be able to determine…

Introduction to Sampling Methods. Implementing inverse transform… | by Herman Michaels | Jan, 2023

Implementing inverse transform sampling, rejection sampling and importance sampling in PythonPhoto by Edge2Edge Media on UnsplashIn this post we’ll discuss how to sample from a probability distribution. This is a common need, in an ML setting this is most frequently used to run inference for probabilistic models. However, due to the distributions being very complex, this is often intractable. Thus, main focus of this post is introducing approximate methods for this task, in particular using numerical sampling, known as…

What makes a Sampling Data Reliable?

Data is the collection of measurement and facts and a tool that help an individual or a group of individuals reach a sound conclusion by providing them with some information. It helps the analyst understand, analyze, and interpret different socio-economic problems like unemployment, poverty, inflation, etc. Besides understanding the issues, it also helps in determining the reasons behind the problem to find possible solutions for them. Data not only includes theoretical information but some numerical facts too that can…

Difference between Census Method and Sampling Method of Collecting Data

Improve Article Save Article Like Article Improve Article Save Article Collection of Data is the first step of the statistical investigation and can be gathered through two different sources, namely, primary sources and secondary sources. Besides primary and secondary sources of collecting data, there are two essential methods of collecting data; i.e., Census Method and Sampling Method.What is Census Method?A method in which an investigator collects data related to the problem under investigation by covering every…