Paper Walkthrough: Neural Style Transfer
Turn your photos into paintings with deep learning - Implementing NST from scratch using PyTorch- 28936Murphy2025-03-22
DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language̷
Traditional RAG vs. dynamic RAG- 26233Murphy2025-03-22
The Ten Commandments for (Power BI) Reporting
I have been asked about some basic rules when creating a reporting solution. Here I am writing down ten commandments on this topic.- 26389Murphy2025-03-22
Building a Fantasy Football Research Agent with LangGraph
An end-to-end guide covering integration with the Sleeper API, creation of a Streamlit UI, and deployment via AWS CDK.- 20447Murphy2025-03-22
Should you switch from VSCode to Cursor?
My experience using VSCode (GitHub Copilot) and Cursor (Claude 3.5 Sonnet) as a Data Scientist.- 21310Murphy2025-03-22
Who Does What in Data? A Practical Introduction to the Role of a Data Engineer & Data Scientist
What does a data engineer do differently to a data scientist?- 23748Murphy2025-03-22
The Cultural Impact of AI Generated Content: Part 1
What happens when AI generated media becomes ubiquitous in our lives? How does this relate to what we've experienced before, and how does...- 25184Murphy2025-03-22
Chat with Your Images using Multimodal LLMs
Learn how to build Llama 3.2-Vision locally in a chat-like mode, and explore its Multimodal skills on a Colab notebook- 21681Murphy2025-03-22
How to Interpret Matrix Expressions – Transformations
Matrix algebra for a data scientist- 22328Murphy2025-03-22
From Retrieval to Intelligence: Exploring RAG, Agent+RAG, and Evaluation with TruLens
Unlocking the Power of GPT-Generated Private Corpora- 27814Murphy2025-03-22
Multimodal RAG: Process Any File Type with AI
A beginner-friendly guide with example (Python) code- 21241Murphy2025-03-22
Becoming a Data Scientist: What I Would Do If I Had to Start Over
Breaking into data science: The Good, the Bad, and the Python Bugs- 26343Murphy2025-03-22
Combining Large and Small LLMs to Boost Inference Time and Quality
Implementing Speculative and Contrastive Decoding- 29159Murphy2025-03-22
Bridging the Data Literacy Gap
The Advent, Evolution, and Current state of "Data Translators"- 20837Murphy2025-03-22
Unlocking Hidden Potential: Exploring Second-Round Purchasers
Finding customer segments for optimal retargetting using LLM embeddings and ML model- 29576Murphy2025-03-22
Accusatory AI: How a Widespread Misuse of AI Technology Is Harming Students
What should be done when an AI accuses a student of misconduct by using AI?- 21270Murphy2025-03-22
Lasso and Elastic Net Regressions, Explained: A Visual Guide with Code Examples
Roping in key features using coordinate descent- 30139Murphy2025-03-22
Can LLMs talk SQL, SPARQL, Cypher, and MongoDB Query Language (MQL) equally well?
Comparing Text-to-Query capabilities of Large Language Models (LLMs) for four different Query Language- 22738Murphy2025-03-22
Why Data Scientists Need These Software Engineering Skills
Learn these things to become a more well-rounded data scientist- 20827Murphy2025-03-22
5 Python One-Liners to Kick Off Your Data Exploration
How to kickstart your EDA using simple one liners- 28121Murphy2025-03-22
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
