الدوري الممتاز الهندي 2020

A piece of an ice core - more pleasing to look at than yet another illustration of a CPU core (Image credit: Ludovic Brucker, NASA’s Goddard Space Flight Center) parallelly 1.25.0 is on CRAN. It comes with two major improvements: You ca... The post parallelly 1.25.0: availableCores(omit=n) and, finally, built-in SSH support for MS Windows 10 users first appeared on R-bloggers. http://dlvr.it/Rypl4k

knn algorithm machine learning, in this tutorial we are going to explain classification and regression problems. Machine learning is a subset of artificial intelligence... The post KNN Algorithm Machine Learning appeared first on finnstats. The post KNN Algorithm Machine Learning first appeared on R-bloggers. http://dlvr.it/RymWq5

The next talk of Grenoble’s R user group will be on May 06, 2021 at 5PM (FR) and is free and open to all: Version control and git for beginners Git is a version control system whose original purpose was to help groups of developers work collaboratively on big software projects. ... The post Zoom talk on “Version control and git for beginners” from the Grenoble (FR) R user group first appeared on R-bloggers. http://dlvr.it/Rykdv3

The third “One World webinar” organized by YoungStatS will take place on May 19th, 2021. The focus of this webinar will be on composite-based structural equation modeling, particularly on partial least squares path modeling (Wold, 1982; Loh... The post Composite-Based Structural Equation Modeling: Developments and Perspectives first appeared on R-bloggers. http://dlvr.it/RyjFRT

The post a common confusion between sample and population moments first appeared on R-bloggers. http://dlvr.it/Ryg0vn

Last Thursday we held a Community Call discussing how to set up a Package to Foster a Community. This call included speakers Maëlle Salmon, Hugo Gruson and Steffi LaZerte, and was moderated by Stefanie Butland. 🔗 Summarizing the communit... The post Set Up Your Package to Foster a Community – Community Call Summary first appeared on R-bloggers. http://dlvr.it/RyfgGz

Some time ago I conducted a poll on LinkedIn that quickly went viral. I asked which of three different coin tossing sequences were more likely and I received exactly 1,592 votes! Nearly 48,000 people viewed it and more than 80 comments are under the post (you need a LinkedIn account to fully see ... The post The Solution to my Viral Coin Tossing Poll first appeared on R-bloggers. http://dlvr.it/Rycc0w

In this post, we’re going to cover how to plot XGBoost trees in R. XGBoost is a very popular machine learning algorithm, which is frequently used in Kaggle competitions and has many practical use cases. Let’s start by loading the packages we’ll need. Note that plotting XGBoost ... The post How to plot XGBoost trees in R first appeared on R-bloggers. http://dlvr.it/Ryb1h5

Below you’ll find the complete code and resources used to create the graphs in my talk The Good, the Bad and the Ugly: how to visualize Machine Learning data at this year’s Minds Mastering machines conference. You can find the German slides here: You can find Part 1: The ... The post The Good, the Bad and the Ugly: how to visualize Machine Learning data first appeared on R-bloggers. http://dlvr.it/RyZh24

Photo by Myriam Jessier on Unsplash We recently teamed up with Extendo and ixpantia to learn how they use RStudio to help streamline their digital analytics offerings for more credible and durable marketing insights. Extendo, known as Mi... The post Using RStudio to Amplify Digital Marketing Results first appeared on R-bloggers. http://dlvr.it/RyWZXn

## Introduction In the last decade, there have been spectacular advances on the practical side of machine learning. One of the most impressive may be the success of Generative Adversarial Networks (GANs) for image generation [@GoPoMiXuWaOzCoBe14]. State of the art models are capable of producing [portraits of fake persons](https://www.... The post A small step to understand Generative Adversarial Networks first appeared on R-bloggers. http://dlvr.it/RyWB6p

This is the first part of our series about code performance in R. Let's assume you have written some code, it's working, it computes the results you need, but it is really slow. If you don't want to get slowed down in your work, y... The post Code performance in R: Which part of the code is slow? first appeared on R-bloggers. http://dlvr.it/RyVsdt