System Design: Quadtrees & GeoHash
Efficient geodata management for optimized search in real-world applications- 20317Murphy2025-03-22
Your First Year as a Data Scientist: A Survival Guide
5 tips I would've hugely benefitted from as a beginner- 23117Murphy2025-03-22
The struggle of Artificially Imitated Intelligence in specialist domains
And why the path to real intelligence goes through ontologies and knowledge graphs- 20812Murphy2025-03-22
The Math Behind Batch Normalization
Explore Batch Normalization, a cornerstone of neural networks, understand its mathematics and implement it from scratch.- 22248Murphy2025-03-22
KAN: Why and How Does It Work? A Deep Dive
Can we discover new physics with KAN?- 26009Murphy2025-03-22
Learn Shiny for Python with a Puppy Traits Dashboard
Step-by-step guide to creating "Who is the Goodest Doggy" Application with Shiny for Python, from foundation to styling.- 29826Murphy2025-03-22
Google's AI Companies Strike Again: AlphaFold 3 Now Spans Even More of Structural Biology
Deepmind and Isomorphic labs just published a new paper that applies new AI concepts and methods to create a new tool that promises to be...- 21600Murphy2025-03-22
How I Learned SQL In 2 Weeks (From Scratch)
How I became proficient in SQL to help land my first data science job- 25062Murphy2025-03-22
Reducing the Size of Docker Images Serving Large Language Models (part 2)
How to reduce a "small" Docker image by another 10%.- 28484Murphy2025-03-22
Python One Billion Row Challenge – From 10 Minutes to 4 Seconds
The one billion row challenge is exploding in popularity. How well does Python stack up?- 23134Murphy2025-03-22
Early Stopping: Why Did Your Machine Learning Model Stop Training?
Why most models are small and LLMs are large- 25935Murphy2025-03-22
Recurrent Neural Networks – An Introduction To Sequence Modelling
What are recurrent neural networks demonstrated by diagrams and worked examples- 26623Murphy2025-03-22
Phi-3 and the Beginning of Highly Performant iPhone Models
This blog post will go into the findings of the Phi-3 paper, as well as some of the implications of models like Phi-3 being released- 23569Murphy2025-03-22
CodeLlama vs. CodeGemma: Using Open Models for AI Coding Assistance
Integrating 7B and 13B Models with an IDE and Terminal- 22802Murphy2025-03-22
Local RAG From Scratch
Develop and deploy an entirely local RAG system from scratch- 26262Murphy2025-03-22
Deep Learning Illustrated, Part 3: Convolutional Neural Networks
An illustrated and intuitive guide on the inner workings of a CNN- 29843Murphy2025-03-22
One Year of Consistent Kaggling: What Did It Teach Me?
Competitions are more valuable than other components- 28976Murphy2025-03-22
Best Practices for Technical Columns in Database Design
When architecting a transactional database or a data warehouse, it's important not to forget about various types of technical columns...- 24160Murphy2025-03-22
N-BEATS – The First Interpretable Deep Learning Model That Worked for Time Series Forecasting
An easy-to-understand deep dive into how N-BEATS works and how you can use it.- 29692Murphy2025-03-22
Python Decoration Is Very Useful, But When To Use Them?
As one of the most unique features in Python, decorator might not be quite easy to understand. However, it will provide super conveniences to our development no matter if you are a Data Scientist, Data Engineer or Web Developer. A few years ago, I wrote a- 26069Murphy2025-03-22
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.