Introduction to Machine Learning
Learn the fundamentals of Machine Learning, from supervised learning and features to overfitting and when a simple if/else is better.

6/1/2026
· Página 2
57 articles found · Page 2
Learn the fundamentals of Machine Learning, from supervised learning and features to overfitting and when a simple if/else is better.

6/1/2026
Practical machine learning best practices for honest data, reproducible experiments, simple models, and reliable production systems.

1/12/2026
A practical guide to the Model Context Protocol: host, client and server, tools, resources and prompts, connecting to Claude and using MCP tools safely.

11/4/2026
Learn how to keep a useful backlog, prioritize honestly, shorten feedback cycles, and cut process theater from project management.

3/18/2026
Learn when to pay down technical debt, schedule it, or live with it without bringing software delivery to a halt.

11/29/2025
Learn how to make technical decisions based on real constraints, trade-offs, reversibility, and clear documentation—not hype.

3/10/2026
Project management means balancing scope, deadlines, and people—not filling out spreadsheets. Learn how to reduce confusion and deliver with purpose.

12/15/2025
Practical ways to organize technology teams, reduce ambiguity and rework, and handle urgency without micromanagement.

7/25/2026
Learn SDET best practices for test strategy, reliable automation, CI, manual testing, and shared ownership of software quality.

4/1/2026
Learn how timeboxing, constraints, pairing, and reflection make coding kata sessions more focused and effective.

11/17/2025
Learn the basics of unit testing, how to structure your first test, and which parts of your code to test first.

2/6/2026
Learn which development tools truly pay for themselves and how to choose and master them without becoming dependent on them.

9/21/2025