We conclude our mini-series on time-series forecasting with torch by augmenting last time’s sequence-to-sequence architecture with a technique both immensely popular in natural language processing and inspired by human (and...continue reading.
“In my opinion, the editors have done an excellent job when selecting the contents of the handbook and putting the different chapters together. For instance, this can be appreciated by...continue reading.
This tutorial will show you how to use the case_when function in R to implement conditional logic like if/else and if/elif/else. It explains the syntax, and also shows clear examples...continue reading.
The first step of any data related task is to inspect the data we are dealing with. This is crucial for data wrangling as well, since we need to explore...continue reading.
Workflow Techniques for the Robust Use of Bayes FactorsDownload from: https://arxiv.org/abs/2103.08744 Daniel J. Schad, Bruno Nicenboim, Paul-Christian Bürkner, Michael Betancourt, Shravan Vasishth …continue reading.
It’s been a while. I hope you are all well. Shall we make some charts? About this time last year, one of my life-long dreams came true when I was...continue reading.
In our overview of techniques for time-series forecasting, we move on to sequence-to-sequence models. Architectures in this family are commonly used in natural language processing (NLP) tasks, such as machine...continue reading.
Clean R Code Is Critical Over many years of experience delivering successful projects, I’ve found one common element in each implementation. A clean, readable, and concise codebase is the key...continue reading.
When working with geospatial data, memory consumption and computation time can become quite a problem, since these datasets are often … Read More →continue reading.
We continue our exploration of time-series forecasting with torch, moving on to architectures designed for multi-step prediction. Here, we augment the “workhorse RNN” by a multi-layer perceptron (MLP) to extrapolate...continue reading.
by Hong Ooi I’m happy to announce that version 2.0 of Microsoft365R, the R interface to Microsoft 365, is now on CRAN! This version adds support for Microsoft Teams, a...continue reading.
This post is an introduction to time-series forecasting with torch. Central topics are data input, and practical usage of RNNs (GRUs/LSTMs). Upcoming posts will build on this, and introduce increasingly...continue reading.
Complete the Introduction to Machine Learning Course for Free until March 21 To all of you who want to get started with machine learning we have a special offer! Until...continue reading.
It really is a remarkable achievement and maybe a lot of luck that the world mundanely operates with such a complex indicator as life expectancy. Unlike many statistics and quantities...continue reading.
This course covers the three most popular package ecosystems for data transformation in R: base R, tidyverse and data.table. You will see which options are better suited for specific use...continue reading.
Brim Security maintains a free, Electron-based desktop GUI for exploration of PCAPs and select cybersecurity logs: along with a broad ecosystem of tools which can be used independently of the...continue reading.
Abstract: This page is an updated version of the 2020-12-28 blog post Age Stratified All-Cause and COVID-19 Associated Mortality. The post considers the age stratified all-cause and COVID-19 associated mortality...continue reading.
New Course Available Now: Advanced Data Transformation Data comes in many shapes and forms from all kinds of data sources. The first step before any statistical analysis can be done,...continue reading.
Weighted wiggles and smoothed categoriescontinue reading.
As The Riddler proposed for several weeks a CrossProduct™ puzzle when 3 x n one-digit integers have to be deduced from their rowwise and columnwise products, I attempted at writing...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
