Leading Data Science Teams to Success
Practical Strategies for Successful Project Delivery in Challenging Collaborative Environments- 24108Murphy2025-03-22
Paws, Claws, and Code: 6 Must-Know Python Examples
Celebrating International Cat Day with Python- 29081Murphy2025-03-22
Line-By-Line, Let's Reproduce GPT-2: Section 2 – Hardware Optimization
This blog post will go line-by-line through the hardware optimizations in Section 2 of Andrej Karpathy's "Let's reproduce GPT-2 (124M)"- 28601Murphy2025-03-22
Diffusion Loss: Every Step Explained
Paper Review: Denoising Diffusion Probabilistic Model (DDPM)- 25422Murphy2025-03-22
Metrics to Evaluate a Classification Machine Learning Model
A study case of credit card fraud- 26790Murphy2025-03-22
Enhancing E-Commerce with Generative AI – Part 1
From Data to Product Recommendations- 23386Murphy2025-03-22
8 Practical Prompt Engineering Tips for Better LLM Apps
How to boost your LLM-native apps with 8 actionable prompt engineering tips for performance, production readiness, and optimized workflows.- 28757Murphy2025-03-22
GPU Accelerated Polars – Intuitively and Exhaustively Explained
Fast Dataframes for Big Problems- 28684Murphy2025-03-22
Building RAGs Without A Retrieval Model Is a Terrible Mistake
Here are my favorite techniques - one is faster, the other is more accurate.- 22105Murphy2025-03-22
A Visual Exploration of Semantic Text Chunking
Use embeddings and visualization tools to split text into meaningful chunks- 20795Murphy2025-03-22
Emerging Tech Is Nothing Without Methodology
Or: a Hundred Ways to Solve a Complex Problem- 24238Murphy2025-03-22
The Mystery Behind the PyTorch Automatic Mixed Precision Library
How to get 2X speed up model training using three lines of code- 21755Murphy2025-03-22
A Closer Look at Scipy's Stats module – Part 1
Let's learn the main methods from scipy.stats module in Python.- 26330Murphy2025-03-22
A Closer Look at Scipy's Stats Module – Part 2
Let's learn the main methods from scipy.stats module in Python.- 24028Murphy2025-03-22
How to Build Your Own Roadmap for a Successful Data Science Career
Our weekly selection of must-read Editors' Picks and original features- 28061Murphy2025-03-22
Introduction to Maximum Likelihood Estimates
Learn about Maximum Likelihood Estimates via their application for next-word prediction- 28650Murphy2025-03-22
Unlocking Business Potential Through Effective Customer Segmentation
Transform your data into actionable insights with customer segmentation for improved engagement and profitability- 28707Murphy2025-03-22
Calibrating Classification Probabilities the Right Way
Or why you should not trust predict_proba methods- 28674Murphy2025-03-22
The Evolution of Text to Video Models
Simplifying the neural nets behind Generative Video Diffusion- 23423Murphy2025-03-22
Asking for Feedback as a Data Scientist Individual Contributor
Receive clear and useful feedback. Ditch generic questions. More than 60 example questions for you to use.- 27983Murphy2025-03-22
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.