Promotion Forecasting: Case Study with a Retail Giant
How a demand forecasting algorithm led to an 18% reduction in out-of-stocks and shortages across national operations in just one year- 24624Murphy2025-03-22
Understanding Group Sequential Testing
How to run valid experiments, with peeking and early stopping.- 26451Murphy2025-03-22
A Subtle Bias that Could Impact Your Decision Trees and Random Forests
That can be easily eliminated- 21547Murphy2025-03-22
Optimizing Retrieval-Augmented Generation (RAG) by Selective Knowledge Graph Conditioning
How SURGE substantially improves knowledge relevance through targeted augmentation while retaining language fluency- 25859Murphy2025-03-22
Storytelling with Visualization – Which Area Has the Highest Socio-Economic Score, and Why
Demonstrated using real-life geographic data- 28948Murphy2025-03-22
Newton's Laws of Motion: The Original Gradient Descent
Exploring the shared language of gradient descent and Newton's motion equations- 24896Murphy2025-03-22
Convolution Explained – Introduction to Convolutional Neural Networks
The fundamental building block of CNNs- 29796Murphy2025-03-22
A Data Science Course Project About Crop Yield and Price Prediction I'm Still Not Ashamed Of
Even from the perspective of an experienced Data Scientist- 22707Murphy2025-03-22
Do More Games Mean More Wins?
Quick Success Data Science I have an obnoxious friend who likes to brag about his alma mater’s gridiron team every chance he gets. Over the last few years, his team won more regular-season games (by one game) than ever before. Now he’s crowing- 23090Murphy2025-03-22
Classifying Source code using LLMs – What and How
Sharing our experience at making LLM-based Source Code classifier- 30002Murphy2025-03-22
Safeguarding Your RAG Pipelines: A Step-by-Step Guide to Implementing Llama Guard with LlamaIndex
How to add Llama Guard to your RAG pipelines to moderate LLM inputs and outputs and combat prompt injection- 20882Murphy2025-03-22
How I Won Singapore's GPT-4 Prompt Engineering Competition
A deep dive into the strategies I learned for harnessing the power of Large Language Models (LLMs)- 21977Murphy2025-03-22
Fantastic Beasts of BigQuery and When to Use Them
Unveiling the Traits of BigQuery Studio, DataFrames, Generative AI/AI Functions, and DuetAI- 21840Murphy2025-03-22
Sobel Operator In Image Processing
What is the Sobel operator and how it is used with examples- 25545Murphy2025-03-22
Why Are All Maps Inaccurate?
Understanding map projections, and why they are used in some of the most popular maps today- 20636Murphy2025-03-22
An Overview of Microsoft Fabric Going Into 2024
What can Microsoft Fabric Bring to the Table in 2024?- 22700Murphy2025-03-22
How to Detect Hallucinations in LLMs
Teaching Chatbots to Say "I Don't Know"- 30135Murphy2025-03-22
Python "Tuple+": Named Tuples
Tuples are a powerful Python type - but named tuples even more so!- 21843Murphy2025-03-22
How Artificial Intelligence Might be Worsening the Reproducibility Crisis in Science and Technology
Discussion backed up by some concrete examples, sketching broad guidelines on how to develop better AI systems- 29321Murphy2025-03-22
Memory-Efficient Embeddings
Creating smaller models with a new kind of embedding layer- 25652Murphy2025-03-22
Genius Cliques: Mapping out the Nobel Network
Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates.
Data Science Expertise Comes in Many Shapes and Forms
Our weekly selection of must-read Editors' Picks and original features
