Evaluating synthetic data
Assessing plausibility and usefulness of data we generated from real data- 24514Murphy2025-03-22
Bringing Structure to Your Data
Testing assumptions with path models- 25061Murphy2025-03-22
AI Feels Easier Than Ever, But Is It Really?
The 4 big challenges of building AI products- 24403Murphy2025-03-22
Your eCommerce product performance reports are probably misleading you
Why single metrics in isolation fall short and how Weighted Composite Scoring can transform your business insights- 22692Murphy2025-03-22
Gaussian Naive Bayes, Explained: A Visual Guide with Code Examples for Beginners
Bell-shaped assumptions for better predictions- 22893Murphy2025-03-22
I Built An AI Human-Level Game Player
Old-school game trees can be incredibly effective.- 26901Murphy2025-03-22
Dataflow architecture
on derived data views and eventual consistency- 22682Murphy2025-03-22
I Fine-Tuned the Tiny Llama 3.2 1B to Replace GPT-4o
Is the fine-tuning effort worth more than few-shot prompting?- 23077Murphy2025-03-22
Continual Learning: A Primer
Plus paper recommendations- 27601Murphy2025-03-22
Visualization of Data with Pie Charts in Matplotlib
Examples of how to create different types of pie charts using Matplotlib to visualize the results of database analysis in a Jupyter...- 20773Murphy2025-03-22
Normalized Discounted Cumulative Gain (NDCG) – The Ultimate Ranking Metric
NDCG - The Rank-Aware Metric for Evaluating Recommendation Systems- 29803Murphy2025-03-22
Will Your Vote Decide the Next President?
Simulating the probability that your singular vote swings the election in November- 26403Murphy2025-03-22
Temporal-Difference Learning: Combining Dynamic Programming and Monte Carlo Methods for…
Milestones of RL: Q-Learning and Double Q-Learning- 22066Murphy2025-03-22
Create Your Own Prompt Enhancer from Scratch
How to emulate OpenAI's system prompt generator functionality- 28105Murphy2025-03-22
Fine-Tuning BERT for Text Classification
A hackable example with Python code- 22436Murphy2025-03-22
Beyond Naive RAG: Advanced Techniques for Building Smarter and Reliable AI Systems
A deep dive into advanced indexing, pre-retrieval, retrieval, and post-retrieval techniques to enhance RAG performance- 25177Murphy2025-03-22
Marketing Mix Modeling (MMM): How to Avoid Biased Channel Estimates
Learn which variables you should and should not take into account in your model.- 21977Murphy2025-03-22
All You Need to Know to Build Radial Charts in Tableau
You will never forget it after this!- 27294Murphy2025-03-22
A Critical Look at AI Image Generation
What does image generative AI really tell us about our world?- 23629Murphy2025-03-22
The Science Behind AI's First Nobel Prize
How Physics and Machine Learning Joined Forces to Win Physics Nobel 2024- 24609Murphy2025-03-22
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