Leading Data Science Teams to Success
Practical Strategies for Successful Project Delivery in Challenging Collaborative Environments- 24149Murphy2025-03-22
Paws, Claws, and Code: 6 Must-Know Python Examples
Celebrating International Cat Day with Python- 29123Murphy2025-03-22
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)"- 28642Murphy2025-03-22
Diffusion Loss: Every Step Explained
Paper Review: Denoising Diffusion Probabilistic Model (DDPM)- 25464Murphy2025-03-22
Metrics to Evaluate a Classification Machine Learning Model
A study case of credit card fraud- 26831Murphy2025-03-22
Enhancing E-Commerce with Generative AI – Part 1
From Data to Product Recommendations- 23427Murphy2025-03-22
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.- 28798Murphy2025-03-22
GPU Accelerated Polars – Intuitively and Exhaustively Explained
Fast Dataframes for Big Problems- 28725Murphy2025-03-22
Building RAGs Without A Retrieval Model Is a Terrible Mistake
Here are my favorite techniques - one is faster, the other is more accurate.- 22147Murphy2025-03-22
A Visual Exploration of Semantic Text Chunking
Use embeddings and visualization tools to split text into meaningful chunks- 20836Murphy2025-03-22
Emerging Tech Is Nothing Without Methodology
Or: a Hundred Ways to Solve a Complex Problem- 24281Murphy2025-03-22
The Mystery Behind the PyTorch Automatic Mixed Precision Library
How to get 2X speed up model training using three lines of code- 21796Murphy2025-03-22
A Closer Look at Scipy's Stats module – Part 1
Let's learn the main methods from scipy.stats module in Python.- 26371Murphy2025-03-22
A Closer Look at Scipy's Stats Module – Part 2
Let's learn the main methods from scipy.stats module in Python.- 24070Murphy2025-03-22
How to Build Your Own Roadmap for a Successful Data Science Career
Our weekly selection of must-read Editors' Picks and original features- 28103Murphy2025-03-22
Introduction to Maximum Likelihood Estimates
Learn about Maximum Likelihood Estimates via their application for next-word prediction- 28693Murphy2025-03-22
Unlocking Business Potential Through Effective Customer Segmentation
Transform your data into actionable insights with customer segmentation for improved engagement and profitability- 28749Murphy2025-03-22
Calibrating Classification Probabilities the Right Way
Or why you should not trust predict_proba methods- 28715Murphy2025-03-22
The Evolution of Text to Video Models
Simplifying the neural nets behind Generative Video Diffusion- 23465Murphy2025-03-22
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.- 28024Murphy2025-03-22
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
