Hands-on project-based learning: Enables readers to build and deploy a complete ML web app from scratch
Step-by-step deployment process: Guides users through setting up Flask or FastAPI, designing frontend, handling user input, and real-time prediction
Includes model versioning and caching: Teaches best practices for managing and optimizing deployed models
Production monitoring techniques: Showcases how to monitor performance in real-world deployment environments
Actionable error handling and fixes: Ensures a smooth learning experience with common issues addressed
Summarized by Shop
deploy machine learning modelspython web app deployment Ready to stop Jupyter and start shipping? Ship Machine Learning Web Apps with Python is your hands-on guide to taking a trained model from a notebook to a live, interactive web interface. Nathan Jansen walks you through every step: setting up a Flask or FastAPI backend, designing a
Language
English
Format
Print Book
Genre
Technology
Target Audience
Data scientists, Python developers, beginners and pros