The 3 Data Visualization Packages You Need for Machine Learning
Obviously, AI taken off in the last year in ways that were hard for most people to predict. AI went from being a somewhat niche technical subject that nerdy guys...continue reading.
Category: R News
What tokens are used more vs. less in #TidyTuesday place names?
Let’s use byte pair encoding tokenization along with Poisson regression to understand which tokens are more more often (or less often) in US place names.continue reading.
R Shiny Gantt Chart: How to Modernize Planning Management in Pharma
We live in a constantly and rapidly evolving environment, which means that effective planning management is crucial for companies. This is particularly true in the pharmaceutical sector, which involves stringent...continue reading.
Air Quality VS Respiratory Diseases Dashboard: Shiny as a Powerful Tool for Data-Driven Insights
Understanding the Air Pollution with Shiny Air pollution is a global problem that affects the health and well-being of millions of people each year. Poor air quality is linked to...continue reading.
Ordering constraints in brms using contrast coding
But mostly how contrast matrices are computedcontinue reading.
R Weekly 2023-W27 Targets validation workflow, %dofuture%, gmailr 2.0.0
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Sam Parmar, with help from the R Weekly...continue reading.
gmailr 2.0.0
We’re chuffed to announce the release of gmailr 2.0.0. gmailr exposes the Gmail API from R. You can install it from CRAN with: install.packages(“gmailr”) The main goal of version 2.0.0...continue reading.
Nurturing Growth: Advancing Your IT Career in the Appsilon Tech Team
In today’s rapidly evolving technology landscape, IT professionals need to stay ahead of the curve to remain competitive and relevant in their careers. That’s why, at Appsilon, we do our...continue reading.
May 2023: “Top 40” New CRAN Packages
This will be my final R Views post offering my totally idiosyncratic selection of 40 CRAN packages. It has been a good run that began in August 2016. I would...continue reading.
Make your own *private* GPT with Python 🔒
Learn how to use the power of GPT to interact with your private documents. All using Python, all 100% private, all 100% free!continue reading.
R {targets}: How to Make Reproducible Pipelines for Data Science and Machine Learning
The R {targets} package is a pipeline tool for statistics, data science, and machine learning in R. The package allows you to write and maintain reproducible R workflows in pipelines...continue reading.
R Weekly 2023-W26 Table to Markdown, Model Sharing, and Rhub debugging
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.
Understanding LoRA with a minimal example
LoRA (Low Rank Adaptation) is a new technique for fine-tuning deep learning models that works by reducing the number of trainable parameters and enables efficient task switching. In this blog...continue reading.
GPT is Not a Shortcut to Learning Data Science
A couple of days ago, I wrote a blog post about how GPT writes bad Pandas code. If you’ve been reading at the blog for a while, you’ve probably realized...continue reading.
Several Key PerformanceAnalytics Functions From R Now In Python (special thanks to Vijay Vaidyanathan)
So, thanks to my former boss, and head of direct indexing at BNY Mellon, Vijay Vaidyanathan, and his Coursera course, … Continue reading →continue reading.
Miami-Dade County Public Employee Salary Research – An Analysis in R, Python, and Julia
This analysis was co-authored by data scientists, Scott Fisher and Douglas Davila-Pestana. Mr. Fisher developed the Python code for the […] The post Miami-Dade County Public Employee Salary Research –...continue reading.
What are Large Language Models? What are they not?
This is a high-level, introductory article about Large Language Models (LLMs), the core technology that enables the much-en-vogue chatbots as well as other Natural Language Processing (NLP) applications. It is...continue reading.
GPT-2 from scratch with torch
Implementing a language model from scratch is, arguably, the best way to develop an accurate idea of how its engine works. Here, we use torch to code GPT-2, the immediate...continue reading.
