目录

1. Introduction to Machine Learning in Production
2. Machine Learning Data Lifecycle in Production
3. Machine Learning Modeling Pipelines in Production
4. Deploying Machine Learning Models in Production

1.Introduction to Machine Learning in Production

• Week 1: Overview of the ML Lifecycle and Deployment
• Week 2: Select and Train a Model
• Week 3: Data Definition and Baseline

2.Machine Learning Data Lifecycle in Production

• Week 1: Collecting, Labeling and Validating Data
• Week 2: Feature Engineering, Transformation and Selection
• Week 3: Data Journey and Data Storage
• Week 4 (Optional): Advanced Labeling, Augmentation and Data Preprocessing

3.Machine Learning Modeling Pipelines in Production

• Week 1: Neural Architecture Search
• Week 2: Model Resource Management Techniques
• Week 3: High-Performance Modeling
• Week 4: Model Analysis

4.Deploying Machine Learning Models in Production

• Week 1: Model Serving: Introduction
• Week 2: Model Serving: Patterns and Infrastructure
• Week 3: Model Management and Delivery
• Week 4: Model Monitoring and Logging