Model Regularization – The Bayesian Way
Are you confused by Bayesian statistics? If you understand Ridge regression, one of the most common Bayesian models is within your reach! This post gives a brief intro to Bayesian...continue reading.
Category: R Books
Virtual Training – bringing data science teams together
Virtual Classrooms – bringing data science teams together Throughout lockdown, we’ve all been encouraged to tap into virtual training opportunities… The post Virtual Training – bringing data science teams together...continue reading.
Two Patterns To Secure REST APIs
In this blog post, Andre explains two approaches on how to secure a REST API: One works with nginx and the sub-request feature, the other implements the verification part in...continue reading.
Best Practices for Code Review: R Edition
A. What is Code Review? Code reviews are traditionally done in the context of a software development team that is building out a new product or feature. The goal is...continue reading.
A Social Network Simulation In The Tidyverse
Do you want to visualize beautiful graphs in R but are shy to leave the tidyverse? Tidygraph and Ggraph ‘got you covered! See how their main functionalities are applied in...continue reading.
gower 1.2.2 is on CRAN
R package gower was accepted on CRAN on 23 june 2020. This release fixes an edge case, affecting cases with a small number of records and a large number of...continue reading.
tinytest 1.2.2 is on CRAN
The tinytest package was accepted on CRAN at 18 june. This release improves the build_install_test() function with two extra arguments that were previously missing, as reported by Patrick Breheny. Meanwhile,...continue reading.
Why fluency matters
Here at Sharp Sight, I frequently use the word “fluent” to describe an ideal skill level with data science. When you join our courses, our goal is to help you...continue reading.
funModeling: New site, logo and version ????
funModeling is focused on exploratory data analysis, data preparation and the evaluation of models. Check the latest functions and website here 🙂continue reading.
How To Dockerize ShinyApps
After having successfully run a simple R-script inside a Docker container before, we next attempt to repeat this process for entire apps built within the RShiny framework. Join me on...continue reading.
Building R 4+ for Windows with OpenBLAS
This post outlines the steps needed to build R 4+ for Windows with OpenBLAS. The release of R 4.0 includes significant changes to the Windows build system from prior versions—for...continue reading.
lumberjack 1.2.0 is on CRAN and paper accepted by JSS
lumberjack is a package that allows you to track (log) changes in data while an R script is running. This allows you to detect exactly which code had what effect...continue reading.
tinytest 1.2.0 is on CRAN
tinytest is a relatively new, light-weight (no-dependency) but full-featured unit testing framework for R. It is currently used by 60+ packages, including the famous Rcpp package. The latest version of...continue reading.
What’s Your Problem – Framing Data Science Questions The Right Way
How can you frame a data science question according to your client’s needs? In this blog post, our colleague Dominique explains how important it is to think about the business...continue reading.
Using random forest to model limit order book dynamic
In this article I use the random forest algorithm to forecast mid price dynamic over short time horizon i.e. a few seconds ahead. This is of particular interest to market...continue reading.
An agile approach to performing through Covid-19
Working at a distance is hard. It requires discipline, planning, trust, and an acceptance that things may not be smooth…. The post An agile approach to performing through Covid-19 appeared...continue reading.
Successful Strategies to Navigate Your Team Through Times of Crisis (Part 1 of 3)
Having access to the right data, at the right time, and in the right format, in order to inform your… The post Successful Strategies to Navigate Your Team Through Times...continue reading.
Causal Inference cheat sheet for data scientists
Being able to make causal claims is a key business value for any data science team, no matter their size.Quick analytics (in other words, descriptive statistics) are the bread and...continue reading.
Movie Recommendation With Recommenderlab
To increase revenue, customers should be offered products they may need or films they might like. In this blog post, our colleague Andreas explains how to train your own movie...continue reading.
Tips before migrating to a newer R version
A summary of common problems that my colleagues and I had when migrating R / packages to newer version.continue reading.
