Introduction to Machine Learning Deployment
Chapter 1: Getting Started with Model Deployment
What is Machine Learning Deployment?
Why Deploy Machine Learning Models?
The Machine Learning Workflow Overview
Types of Deployment Strategies (Introduction)
Challenges in Model Deployment
Quiz for Chapter 1
Chapter 2: Preparing Your Model for Deployment
Saving Trained Models
Introduction to Model Serialization
Using Pickle for Model Persistence
Using Joblib for Model Persistence
Handling Model Dependencies
Saving Preprocessing Steps
Hands-on Practical: Saving and Loading a Simple Model
Quiz for Chapter 2
Chapter 3: Creating a Prediction Service with Flask
What is an API?
Introduction to Web Frameworks
Setting Up Flask
Creating a Basic Flask Application
Loading Your Saved Model in Flask
Defining a Prediction Endpoint
Handling Input Data (JSON)
Returning Predictions
Testing Your API Locally
Hands-on Practical: Building a Simple Flask Prediction API
Quiz for Chapter 3
Chapter 4: Introduction to Containerization with Docker
What is Containerization?
Introduction to Docker
Docker Concepts: Images and Containers
Installing Docker
Writing a Simple Dockerfile
Building a Docker Image for the Flask App
Running the Application in a Docker Container
Hands-on Practical: Containerizing the Prediction Service
Quiz for Chapter 4
Loading Your Saved Model in Flask
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- Flask Documentation, Pallets, 2024 - Official documentation for the Flask web framework, providing guidance on application setup, request handling, and best practices for building web services.
- joblib: running Python functions as pipeline jobs, joblib developers, 2024 - Official documentation for joblib, detailing its capabilities for efficient serialization and deserialization of large Python objects, including machine learning models.
- Designing Machine Learning Systems: New Responsibilities for Data Scientists, ML Engineers, and Software Engineers, Chip Huyen, 2022 (O'Reilly Media) - This book provides comprehensive guidance on designing, building, and operating machine learning systems, including practical strategies for model serving, deployment, and managing dependencies.
- pickle - Python object serialization, Python Software Foundation, 2024 - Official documentation for Python's pickle module, which implements binary protocols for serializing and deserializing a Python object structure.