R News from another blog for R community
In the series of Azure Machine Learning posts: Now, that we have created compute and added some data, we can check what are Azure CLI and Python SDK. What is...continue reading.
I’m creating an AI moderator for social media using reinforcement learning (RL). My goal is to reduce toxicity/outrage and increase …Continue reading →continue reading.
In the series of Azure Machine Learning posts: We have explored how to create a compute instance and compute target and learned that ML frameworks and scripting packages always come...continue reading.
In the series of Azure Machine Learning posts: With a basic understanding of data assets, let’s create compute instances. Under “Manage” in the navigation bar, select “Compute” (denoted as 1),...continue reading.
In the series of Azure Machine Learning posts: Yesterday, we have learned the general outlook of the Studio and in this blog post, we will be focusing primarily on getting...continue reading.
Back in September 2016 I implemented the ClusterR package. One of the algorithms included in ClusterR was the ‘Partition Around Medoids’ (Cluster_Medoids) algorithm which was based on the paper “Anja...continue reading.
In the series of Azure Machine Learning posts: After creating the Azure Machine Learning workspace, you will be able not only to start the Studio but access all the necessary...continue reading.
Week 13 Cheat Sheet and Fantasy Football Projection Roundup now available. The post Fantasy Football Weekly Cheat Sheet: Week 13 (2022) appeared first on Fantasy Football Analytics.continue reading.
In the series of Azure Machine Learning posts: Assuming you already have the Azure subscription and you are logged into Azure portal, search for the “Azure Machine learning” service and...continue reading.
Azure Machine Learning (or Azure Machine Learning Service and abbreviation AML) is Azure’s cloud service for creating, managing and productionalising machine learning projects. It is a collaborative tool for Data...continue reading.
Dashboards created in R Shiny generate insights that empower businesses to improve processes, initiatives, and innovations. But Shiny is not only a business intelligence tool. It can serve many goals...continue reading.
I’ve had some discussions online and in the real world about this blog post and I’d like to restate why containerization is needed for reproducibility, and do so from the...continue reading.