Talking about Games
Game Theory 101: terms and concepts- 23271Murphy2025-03-23
There's a right way to be wrong
How to incorporate business context into your predictions via cost of false positives & negatives- 21238Murphy2025-03-23
Do European M&Ms Actually Taste Better than American M&Ms?
An overly-enthusiastic application of science and data visualization to a question we’ve all been asking- 28062Murphy2025-03-23
The Next AI Revolution: A Tutorial Using VAEs to Generate High-Quality Synthetic Data
Leverage the BasicVAE architecture to generate synthetic data and improves the classification accuracy on an imbalanced dataset- 27890Murphy2025-03-23
Introducing NumPy, Part 4: Doing Math with Arrays
Plus reading and writing array data!- 25719Murphy2025-03-23
PySpark Explained: The InferSchema Problem
Think before using this common option when reading large CSV's- 22229Murphy2025-03-23
Nine Rules for SIMD Acceleration of Your Rust Code (Part 1)
General Lessons from Boosting Data Ingestion in the range-set-blaze Crate by 7x- 21424Murphy2025-03-23
ASCVIT V1: Automatic Statistical Calculation, Visualization and Interpretation Tool
Automated data analysis made easy: The first version of ASCVIT the tool for statistical calculation, visualization and interpretation- 29297Murphy2025-03-23
Football and Geometry – Passing Networks
Analyzing Bayer Leverkusen's Passing Networks from Last Season- 20546Murphy2025-03-23
What Makes a Great Data Business
Including an easy-to-use data business evaluation cheat sheet- 23421Murphy2025-03-23
The Dangers of Deceptive Data–Confusing Charts and Misleading Headlines
A deep dive into the ways data can be used to misinform the masses- 20833Murphy2025-03-23
The Data Strategy Choice Cascade
What your data strategy should look like- 22418Murphy2025-03-23
Model Management with MLflow, Azure, and Docker
A guide to tracking experiments and managing models- 25769Murphy2025-03-23
How LLMs Work: Reinforcement Learning, RLHF, DeepSeek R1, OpenAI o1, AlphaGo
Part 2 of the LLM deep dive- 23840Murphy2025-03-23
Efficient Model Fine-Tuning with Bottleneck Adapter
How to fine-tune Transformer-based models with bottleneck adapters- 22939Murphy2025-03-22
4 Pandas One-Liners That Solve Particular Tasks Efficiently
Complex tasks completed in a quick and simple way.- 20202Murphy2025-03-22
Supercharge Training of your Deep Learning Models
Super Convergence with One-Cycle Learning Rates- 26169Murphy2025-03-22
Learn to Unlearn Machines
A data-driven approach to machine unlearning of generative language models- 27186Murphy2025-03-22
Build a Convolutional Neural Network from Scratch using Numpy
Master Computer Vision by building a CNN from scratch all by yourself.- 20341Murphy2025-03-22
Defining Artificial General Intelligence
How do you know when a system has reached AGI?- 23538Murphy2025-03-22
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