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- 24585Murphy2025-03-22
Understanding Group Sequential Testing
How to run valid experiments, with peeking and early stopping.- 26412Murphy2025-03-22
A Subtle Bias that Could Impact Your Decision Trees and Random Forests
That can be easily eliminated- 21508Murphy2025-03-22
Optimizing Retrieval-Augmented Generation (RAG) by Selective Knowledge Graph Conditioning
How SURGE substantially improves knowledge relevance through targeted augmentation while retaining language fluency- 25821Murphy2025-03-22
Storytelling with Visualization – Which Area Has the Highest Socio-Economic Score, and Why
Demonstrated using real-life geographic data- 28910Murphy2025-03-22
Newton's Laws of Motion: The Original Gradient Descent
Exploring the shared language of gradient descent and Newton's motion equations- 24858Murphy2025-03-22
Convolution Explained – Introduction to Convolutional Neural Networks
The fundamental building block of CNNs- 29757Murphy2025-03-22
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- 22670Murphy2025-03-22
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- 23052Murphy2025-03-22
Classifying Source code using LLMs – What and How
Sharing our experience at making LLM-based Source Code classifier- 29964Murphy2025-03-22
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- 20843Murphy2025-03-22
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)- 21938Murphy2025-03-22
Fantastic Beasts of BigQuery and When to Use Them
Unveiling the Traits of BigQuery Studio, DataFrames, Generative AI/AI Functions, and DuetAI- 21801Murphy2025-03-22
Sobel Operator In Image Processing
What is the Sobel operator and how it is used with examples- 25505Murphy2025-03-22
Why Are All Maps Inaccurate?
Understanding map projections, and why they are used in some of the most popular maps today- 20597Murphy2025-03-22
An Overview of Microsoft Fabric Going Into 2024
What can Microsoft Fabric Bring to the Table in 2024?- 22661Murphy2025-03-22
How to Detect Hallucinations in LLMs
Teaching Chatbots to Say "I Don't Know"- 30096Murphy2025-03-22
Python "Tuple+": Named Tuples
Tuples are a powerful Python type - but named tuples even more so!- 21804Murphy2025-03-22
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- 29284Murphy2025-03-22
Memory-Efficient Embeddings
Creating smaller models with a new kind of embedding layer- 25611Murphy2025-03-22
The current state of continual learning in AI
Why is ChatGPT only trained up until 2021?
Optimizing Pandas Code: The Impact of Operation Sequence
Learn how to rearrange your code to achieve significant speed improvements.