Building Successful AI Apps: The Dos and Don'ts
Our weekly selection of must-read Editors' Picks and original features- 22292Murphy2025-03-22
How Cheap Mortgages Transformed Poland's Real Estate Market
Insights from a synthetic control group- 28499Murphy2025-03-22
Simplicity Over Black Boxes
Turning complex ML models into simple, interpretable rules with Human Knowledge Models for actionable insights and easy inference- 23809Murphy2025-03-22
Exploring DeepSeek's R1 Training Process
Open-Source Intelligence on Par with Proprietary Models- 29267Murphy2025-03-22
Nine Pico PIO Wats with Rust (Part 1)
Raspberry Pi programmable IO pitfalls illustrated with a musical example- 27871Murphy2025-03-22
Optimising Budgets With Marketing Mix Models In Python
Part 3 of a hands-on guide to help you master MMM in pymc- 20845Murphy2025-03-22
Beyond Causal Language Modeling
A deep dive into "Not All Tokens Are What You Need for Pretraining"- 26208Murphy2025-03-22
Prompting Vision Language Models
Exploring techniques to prompt VLMs- 27952Murphy2025-03-22
The Challenges and Realities of Being a Data Scientist
Some harsh truths behind the field of data science- 25785Murphy2025-03-22
Navigating Data Science Content: Recognizing Common Pitfalls, Part 1
Uncovering and correcting misconceptions in online data science content to help you learn more effectively- 27830Murphy2025-03-22
Extracting Structured Vehicle Data from Images
Build an Automated Vehicle Documentation System that Extracts Structured Information from Images, using OpenAI API, LangChain and Pydantic.- 27070Murphy2025-03-22
Stop Creating Bad DAGs – Optimize Your Airflow Environment By Improving Your Python Code
Valuable tips to reduce your DAGs' parse time and save resources.- 25569Murphy2025-03-22
Small Training Dataset? You Need SetFit
The enterprise-friendly way to train NLP classifiers with Python in 2025- 26828Murphy2025-03-22
DeepSeek-V3 Explained 1: Multi-head Latent Attention
Key architecture innovation behind DeepSeek-V2 and DeepSeek-V3 for faster inference- 27913Murphy2025-03-22
AI Development vs Software Engineering: Key Differences Explained
Why Treating AI Projects Like Traditional Software Development Limits Your Team's Potential for Success- 30028Murphy2025-03-22
Water Cooler Small Talk, Ep 7: Anscombe's Quartet and the Datasaurus
Why descriptive statistics aren't enough and plotting your data is always essential- 30130Murphy2025-03-22
How to Implement Guardrails for Your AI Agents with CrewAI
LLM Agents are non-deterministic by nature: implement proper guardrails for your AI Application.- 24812Murphy2025-03-22
How to Enhance SQL Code Security and Maintainability
Introduction to SQL procedures, their applications and benefits, and how to encrypt SQL code- 22226Murphy2025-03-22
NLP Illustrated, Part 3: Word2Vec
An exhaustive and illustrated guide to Word2Vec with code!- 25481Murphy2025-03-22
How Likely Is a Six Nations Grand Slam in 2025?
The Six Nations is back! This article explores how we can use Data Science & Machine Learning to predict the likelihood of a GrandSlam- 26925Murphy2025-03-22
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
