MLFlow Crash Course: MLOps in Python
Key Takeaways
Provides a crash course on MLFlow for MLOps in Python
Original Description
💻️ Need some help with a project or some consulting? Contact me here: https://www.neuralnine.com/services
🐍 The Python Bible Book: https://www.neuralnine.com/books/
💻 The Algorithm Bible Book: https://www.neuralnine.com/books/
Timestamps:
(0:00) Intro
(1:07) Environment Setup
(6:11) Tracing
(11:45) Evaluation
(18:20) Prompt Templates
(22:20) AI Gateways
(25:42) Agent Servers
(29:30) Scikit-Learn MLOps
(33:20) Hyperparameter Tuning
(37:17) PyTorch MLOps
(41:20) Outro
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: ML Pipelines
View skill →Related Reads
📰
📰
📰
📰
A Phased Blueprint for Migrating From Google Workspace to Microsoft 365
Hackernoon
Feature Freshness: The Forgotten Problem of MLOps
Medium · LLM
Day 19 of the 100 Days of MLOps Challenge
Medium · DevOps
From Critical Infrastructure to AI Factories: Building an AI Operations Copilot on Nebius…
Medium · LLM
🎓
Tutor Explanation
DeepCamp AI