Using Google Lighthouse for Web Pages
This is part one of a three part series on Lighthouse for Shiny Apps. Part 1: Using Google Lighthouse for Web Pages (This post) Part 2: Analysing Shiny App start-up … Read more
Month: November 2023
Explore Semantic Relations in Corpora with Embedding Models
Published in · 10 min read · 6 days ago Recently I have talked to a handful of fellow students and scholars who had research interests which involved the analysis … Read more
Google Foobar Challenge: Level 3
Exploring binary numbers, dynamic programming, and Markov chains Published in · 9 min read · Just now Photo by Rajeshwar Bachu on Unsplash The Foobar Challenge is a coding challenge … Read more
Bias, Toxicity, and Jailbreaking Large Language Models (LLMs)
A review of recent research on concerning characteristics of LLMs Published in · 17 min read · 1 day ago The featured image is derived from the Galton box video … Read more
deposits R Package Delivers a Common Workflow for R Users
[This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on … Read more
myApplications: One place to view and manage your applications on AWS
Today, AWS announces the general availability of myApplications, a new experience in the AWS Management Console that makes it easier to manage and monitor the cost, health, security posture, and … Read more
Can AI solve your problem?
Three simple heuristics for recognising AI eligible project ideas Published in · 6 min read · 3 days ago Image by TheDigitalArtist on pixabay. In a product organisation aiming to … Read more
Knowledge Graphs, Hardware Choices, Python Workflows, and Other November Must-Reads
Published in · 4 min read · Just now We’re entering the final stretch of another eventful year for data and machine learning professionals. Many of you are making one … Read more
Maximizing Efficiency: A Guide to Benchmarking Memory Usage in Shiny Apps
R/Shiny allows you to prototype a working web application quickly and easily. However, with increasing amounts of data, your app may become slow and, in extreme cases, crash due to … Read more
Catch Me If You Can: Exception Handling in R
The Importance of Error Handling In the multifaceted world of R programming, particularly when navigating the intricate paths of data analysis, robust error handling is not merely a precaution; it’s an … Read more
PyTorch Introduction —Tensors and Tensor Calculations
Learn about Tensors and how to use them in one of the most famous machine learning libraries, pytorch Published in · 8 min read · Just now Math magic — … Read more
Avoid Overfitting in Neural Networks: a Deep Dive
Learn how to implement regularization techniques to boost performances and prevent Neural Network overfitting Published in · 9 min read · Just now Image source: unsplash.com. When training a deep … Read more
What Role Should AI Play in Healthcare?
On the use of machine learning in healthcare and the United Healthcare AI scandal Published in · 11 min read · 3 hours ago Photo by National Cancer Institute on … Read more
Combine Multiple LoRA Adapters for Llama 2
Add skills to your LLM without fine-tuning new adapters Published in · 12 min read · Just now Image by the author — Made with an image from Pixabay Fully … Read more
Data Engineering Interview Questions
Tips to prepare for a job interview Published in · 20 min read · 5 hours ago Photo by Ignacio Amenábar on Unsplash This story aims to shed some light … Read more
Back-transformations with emmeans()
I am one of those old guys who still uses the stabilising transformations, when the data do not conform to the basic assumptions for ANOVA. Indeed, apart from counts and … Read more
Cliff notes about the cli package
[This article was first published on Posts on R-hub blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your … Read more
2023 : A Year of Progress for PHUSE CAMIS Working Group.
[This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on … Read more
Training and Deploying a Custom Detectron2 Model for Object Detection using PDF Documents (Part 1…
If you are a Mac or Linux user, you are in luck! This process will be relatively simple by running the following command: pip install torchvision && pip install “detectron2@git+https://github.com/facebookresearch/detectron2.git@v0.5#egg=detectron2” … Read more
The Power of Retrieval Augmented Generation: A Comparison between Base and RAG LLMs with Llama2
A deep dive into tailoring pre-trained LLMs for custom use cases using a RAG approach, featuring LangChain and Hugging Face integration Published in · 12 min read · 1 hour … Read more
Pacing, Effort and Stamina
Before we get started, I would like to position this article as one of several recent articles that sit at the intersection between data science and marathon running. In previous … Read more
Cognitive Biases in Data Science: The Category-Size Bias
DATA BIAS HACKERS A data scientist’s guide to outsmarting biases Published in · 8 min read · 3 hours ago Photo by Andy Li on Unsplash Imagine you find yourself … Read more
Evaluate, compare, and select the best FMs for your use case in Amazon Bedrock (Preview)
Model Evaluation on Amazon Bedrock allows you to evaluate, compare, and select the best foundation models for your use case. Amazon Bedrock offers a choice of automatic evaluation and human … Read more
My Fourth Week of the #30DayMapChallange
Member-only story My personal take on the fourth week of the #30DayMapChallange, a daily social challenge aimed at designing thematic maps every day in November. Published in · 7 min … Read more
Charting the Final Frontier: Completing the #30DayMapChallenge Odyssey
In the image series above, I explored the theme of “Raster” through a fascinating lens, displaying various interpolation methods available through Observable Plot, applied to Seattle traffic collision data. Each … Read more
5 Code Optimization Techniques To Speed Up Your Programs
Make your code more efficient and professional with these language-agnostic methods Published in · 7 min read · Just now Photo by Shubham Dhage on Unsplash Make it work first, … Read more
Spatial autocorrelation
[This article was first published on r.iresmi.net, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? … Read more
data.table User Survey
[This article was first published on Mad (Data) Scientist, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content … Read more
Navigating Quantile Regression with R: A Comprehensive Guide
Quantile regression is a robust statistical method that goes beyond traditional linear regression by allowing us to model the relationship between variables at different quantiles of the response distribution. In … Read more
Shiny Gatherings #8: Teal’s Role in Pharma Innovation with Paweł Rucki
In the fast-paced world of pharmaceutical software development, open-source tools play a pivotal role. Among these, Teal stands out as a groundbreaking framework, developed under the aegis of Roche, for … Read more
Courage to Learn ML: Demystifying L1 & L2 Regularization (part 3)
I’m glad you brought up this question. To get straight to the point, we typically avoid p values less than 1 because they lead to non-convex optimization problems. Let me … Read more
Introducing rOpenSci Mentors – Cohort 2023-2024
One important aspect of rOpenSci’s mission is to build capacity and promote passionate community members who help the open science and open source software community grow and improve. The rOpenSci … Read more
Bug fixes for dqrng and tikzDevice
[This article was first published on R on Ralf Stubner, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your … Read more
Multivariate Regression Ensemble Models for Errors Prediction
[This article was first published on Peter Laurinec, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on … Read more
Training Lineup for 2024: January-June
All of our public training courses for the first half of 2024 are now open for registration! Head over to the public courses page on our website to book in … Read more
Large Language Models: DeBERTa — Decoding-Enhanced BERT with Disentangled Attention
Exploring the advanced version of the attention mechanism in Transformers Published in · 8 min read · Just now In recent years, BERT has become the number one tool in … Read more
Going the Next Step with Stock Measures in DAX
We can encounter some weird effects when using Stock Measures in Power BI. Let’s look at how such a situation can emerge and how to solve it. Published in · … Read more
The History of Open-Source LLMs: Imitation and Alignment (Part Three)
Open-source LLMs need alignment to become truly remarkable… Published in · 20 min read · 2 hours ago (Photo by Joanna Kosinska on Unsplash) A majority of prior research on … Read more
Voronoi Grids: A Practical Application
Quick Success Data Science Mapping school zones in Melbourne, Australia Published in · 10 min read · 3 hours ago Melbourne as a stained-glass window envisioned by Leonardo.ai DreamShaper v7 … Read more
Gaussian Mixture Models (GMMs): from Theory to Implementation
In-depth explanation of GMMs and the Expectation-Maximization algorithm used to train them Published in · 17 min read · 5 hours ago Gaussian Mixture Models (GMMs) are statistical models that … Read more
System Design Cheatsheets: ElasticSearch
Understand how and when to use ElasticSearch in systems, with three practical system design examples Published in · 13 min read · Just now What is Search? And why it … Read more
Improving k-Means Clustering with Disentanglement
Learning the dataset class neighborhood structure improves clustering Published in · 8 min read · 2 days ago An accompanying article for the paper “Improving k-Means Clustering with Disentangled Internal … Read more
Conformal Prediction for Machine Learning Classification -From the Ground Up
Implementing conformal prediction for classification without need of bespoke packages Published in · 11 min read · 4 days ago This blog post is inspired by Chris Molner’s book — … Read more
AWS announces Amazon Q (Preview)
Today, AWS announces Amazon Q, a new generative AI–powered assistant that is specifically designed for work and can be tailored to your business to have conversations, solve problems, generate content, … Read more
R Shiny Docker: How To Run Shiny Apps in a Docker Container
It doesn’t matter if you’ve created the world’s best R Shiny application if you can’t share it with others. Reproducibility and portability are two major key points in software development, … Read more
{rhino} vs {golem} vs {leprechaun}: Which R/Shiny Library is Right for You?
Shiny dashboards created using R have become a staple for data professionals due to their flexibility, power, ease of use, and community support when carrying out data visualization and analytics. … Read more
Improving Retrieval Performance in RAG Pipelines with Hybrid Search
How to find more relevant search results by combining traditional keyword-based search with modern vector search Published in · 8 min read · 1 hour ago Search bar with hybrid … Read more
Igniting Innovation: Bilikisu Wunmi Olatunji’s Journey with Abuja’s Thriving R User Community
[This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on … Read more
From the Perceptron to Adaline
Setting the foundations right Published in · 11 min read · Just now Photo by Einar Storsul on Unsplash Introduction In a previous article I tried to explain the most … Read more
Mastering Long Short-Term Memory with Python: Unleashing the Power of LSTM in NLP
A comprehensive guide to understanding and implementing LSTM layers for natural language processing with Python Published in · 17 min read · 1 hour ago Photo by Sven Brandsma on … Read more