From Default Python Line Chart to Journal-Quality Infographics
Transform boring default Matplotlib line charts into stunning, customized visualizations- 24971Murphy2025-03-22
Transforming Data into Solutions: Building a Smart App with Python and AI
Some financial analysts worry that artificial intelligence may not justify the massive investments being made in the field. While I understand their concerns, I see things differently. I’m neither an AI Boomer nor an AI Doomer – I believe AI h- 23759Murphy2025-03-22
Deep Learning for Outlier Detection on Tabular and Image Data
The challenges and promises of deep learning for outlier detection, including self-supervised learning techniques- 29706Murphy2025-03-22
Learning ML or Learning About Learning ML?
Pragmatism versus (over-)planning- 27813Murphy2025-03-22
Mastering the Basics: How Linear Regression Unlocks the Secrets of Complex Models
Full explanation on Linear Regression and how it learns- 29976Murphy2025-03-22
5 Simple Projects to Start Today: A Learning Roadmap for Data Engineering
Start with 5 practical projects to lay the foundation for your data engineering roadmap.- 22592Murphy2025-03-22
What I'm Updating in My AI Ethics Class for 2025
What happened in 2024 that is new and significant in the world of AI ethics?- 25341Murphy2025-03-22
Non-Technical Principles All Data Scientists Should Have
Making you a better data scientist, and enhancing your career.- 28068Murphy2025-03-22
The Cultural Impact of AI Generated Content: Part 2
What can we do about the increasingly sophisticated AI generated content in our lives?- 22776Murphy2025-03-22
How to Process 10k Images in Seconds
Efficient image operations with multiprocessing in Python- 22216Murphy2025-03-22
How to Tell Among Two Regression Models with Statistical Significance
Diving into the F-test for nested models with algorithms, examples and code- 22745Murphy2025-03-22
Mastering Sensor Fusion: Color Image Obstacle Detection with KITTI Data – Part 2
How to use Color Image data for object detection in the context of obstacle detection- 28671Murphy2025-03-22
Data behind the Luck, Ambition, and a Billion-Dollar Dream: Lottery
Using Seattle's local retail store data for consumer patterns of the lottery (SQL, Python)- 29895Murphy2025-03-22
Scaling Statistics: Incremental Standard Deviation in SQL with dbt
Why scan yesterday's data when you can increment today's?- 26389Murphy2025-03-22
How I Built a Real-Time Weather Data Pipeline Using AWS-Entirely Serverless
A practical guide to leveraging AWS Lambda, Kinesis, and DynamoDB for real-time insights- 29381Murphy2025-03-22
Start a New Year of Learning on the Right Foot
A special edition of must-read articles and resources to help you kick off a productive 2025- 23383Murphy2025-03-22
Data Engineering – ORM and ODM with Python
Manipulate database data leveraging an object-oriented programming paradigm- 28869Murphy2025-03-22
How to Stand Out in The Data Science Job Market
How to have the edge in your data science application- 28837Murphy2025-03-22
The Fallacy of Complacent Distroless Containers
Making containers smaller is the most popular practice when reducing your attack surface. But how real is this sense of security?- 26424Murphy2025-03-22
Demand Forecasting with Darts: A Tutorial
A hands-on tutorial with Python and Darts for demand forecasting, showcasing the power of TiDE and TFT- 28159Murphy2025-03-22
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
