architecture for machine learning course

1. ARCHITECTURE FOR MACHINE LEARNING Innovative Information Technology Online Course

2. Understanding ML Architecture At its core, Machine Learning Architecture is a structured design for developing and deploying ML systems. It outlines: Data collection and preprocessing Feature engineering Model training and validation Deployment and serving Monitoring and retraining The goal is to ensure scalability, reproducibility, automation, and collaboration.

3. Data Layer Key Components of ML Architecture Feature Engineering Layer Model Training Layer Validation & Testing Deployment Layer Monitoring & Maintenance

4. Challenges in ML Architecture Data quality and bias Model reproducibility Scalability of training and inference Real-time inference latency Keeping models updated with fresh data

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