Archive - Deliberate Machine Learning

Async Python for Data Scientists

Mar 9 •

Faking OpenAI - Unit testing in the age of LLMs (Part Two)

Mar 2 •

February 2025

Mocking OpenAI - Unit testing in the age of LLMs (Part One)

Feb 23 •

September 2024

Python Project Essentials course for $25

Sep 23, 2024 •

July 2024

Ruff - the new king of Python code formatting

Jul 18, 2024 •

June 2024

Code Quality in Data Science: 17 posts on my substack

2024-06-29 - Clean Architecture, Design Patterns, Code Smells, Technical Debt

Jun 29, 2024 •

May 2024

Python Project Essentials course for Data Scientists

On the MLOps Community Learning platform - 2024-05-20

May 20, 2024 •

April 2024

[Review]: Deploying AI Systems Securely

Best Practices for Deploying Secure and Resilient AI Systems from NSA, GCHQ, CSEC, ASD and NCSC

Apr 17, 2024 •

March 2024

Blueprinting and roadmapping in ML projects

Mar 20, 2024 •

How Data Scientists can sell "Tech Debt" to their managers?

[Interesting content] Code Quality: Debunking the Speed vs Quality Myth with Empirical Data

Mar 4, 2024 •

January 2024

Cloud, Data, AI, GenAI

Jan 3, 2024 •

December 2023

DORA metrics simplified

Dec 1, 2023 •

#nojs-banner { position: fixed; bottom: 0; left: 0; padding: 16px 16px 16px 32px; width: 100%; box-sizing: border-box; background: red; color: white; font-family: -apple-system, "Segoe UI", Roboto, Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"; font-size: 13px; line-height: 13px; } #nojs-banner a { color: inherit; text-decoration: underline; } This site requires JavaScript to run correctly. Please turn on JavaScript or unblock scripts