R Weekly 2022-W51 {ggpath}, R7, grid
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Colin Fay, with help from the R Weekly...continue reading.
R News from another blog for R community
demographeR’s notes
2022 No matching items 2021 No matching items 2020 No matching items 2019 No matching items 2018 No matching items 2017 March 31, 2017 Wh…continue reading.
Designing Accessible Research with R/Shiny
R/Shiny is quite versatile from a developer’s perspective, and at Appsilon, we try our best to stretch those limits even further. That is what we did for the Future Forests...continue reading.
Advent of 2022, Day 18 – Statistical analysis, plotting graphs and feature engineering
In the series of Azure Machine Learning posts: Azure Machine Learning is also a great tool to do ordinary statistical analysis, graph plotting and everything that goes along. Let’s get...continue reading.
Advent of 2022, Day 17 – Building responsible AI dashboard with Python SDK
In the series of Azure Machine Learning posts: Responsible AI is an approach to assessing, developing, and deploying AI systems in a safe, trustworthy, and ethical manner, and take responsible...continue reading.
foliage to the max
An easy riddle from The Riddler that did not even require coding! Given that a tree changes colours at a random time A distributed according to a Uniform distribution (over...continue reading.
Advent of 2022, Day 16 – MLflow in action with xgboost
In the series of Azure Machine Learning posts: Yesterday we have looked into how to start the MLflow configurations and today, let’s put this to the test. We will create...continue reading.
Advent of 2022, Day 15 – Getting to know MLflow
In the series of Azure Machine Learning posts: MLFlow is an open-source framework for registering, managing and tracking machine learning models. It is multiplatform, bringing consistent model training and model...continue reading.
Gosling: Interactive Genomics Charts in R Shiny
Visualizing genomics data is not as straightforward as you would think. The whole industry is extremely complex and suffers from a major problem – specialization creep. There are so many...continue reading.
Advent of 2022, Day 14 – Registering the models
In the series of Azure Machine Learning posts: Important asset is the “Models” in navigation bar. This feature allows you to work with different model types -> custom, MLflow, and...continue reading.
2022-03 Offsetting Lines and Polygons in ‘grid’
This document describes new functions in the ‘gridGeometry’ package for R that generate offset regions and Minkowski Sums for lines and polygons. Jack Wong and …continue reading.
Advent of 2022, Day 13 – Automated ML
In the series of Azure Machine Learning posts: Automated ML is a no-code automated machine learning task. It iterates over many combinations of algorithms and hyperparameters in order to find...continue reading.
europeanaR: Exploring A Digitized Art Database with Shiny
Art provides insight into the experiences and values of a culture. We see parallels between Shiny and art. Both are canvases for sharing insight. They are used to transform information...continue reading.
Advent of 2022, Day 12 – Creating jobs
In the series of Azure Machine Learning posts: An Azure ML job executes a task against a specified compute target. This is also how the job is created. By configuring...continue reading.
R Weekly 2022-W50 Analyzing Twitter Archive, Shiny app to FDA, Rock Paper Scissors
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Eric Nantz, with help from the R Weekly...continue reading.
Redesigning Dashboards with Shiny and Rhino: World Bank’s Carbon Pricing
The modern revolution of big data has led to a boom in business intelligence. But data is only as valuable as the insights it provides. That means the true value...continue reading.
Advent of 2022, Day 11 – Creating Pipelines with Python SDK
In the series of Azure Machine Learning posts: A pipeline is set of instructions (or a workflow) for executing particular work of a machine learning task. The idea behind pipelines...continue reading.
Advent of 2022, Day 10 – Connecting to client using Python SDK namespaces
In the series of Azure Machine Learning posts: Let’s continue to explore the power of SDK and the namespaces. And we will look into namespace that will help you connect...continue reading.
Advent of 2022, Day 9 – Python SDK namespaces for environment, and pipelines
In the series of Azure Machine Learning posts: Let’s continue to explore the power of SDK and the namespaces. Environment Python SDK namespace is azureml.core.environment. Environments specify the set of...continue reading.
Advent of 2022, Day 8 – Python SDK namespaces for workspace, experiments and models
In the series of Azure Machine Learning posts: Looking briefly into Azure CLI and Python SDK, let’s explore the power of SDK and the most important namespaces. Create a new...continue reading.
