Day 5 - Week 2 Summary: ML Lifecycle and Data at a Glance

This week we reviewed "how ML is actually built and operates" from a data perspective. Even without directly coding models, understanding the flow from model inception to operation and the principles of data supporting that flow lets us answer a substantial part of the AIF-C01 exam. Today we tie together four days of content and organize the points that frequently become pitfalls on the exam.

Week 2 at a Glance

[ ML Lifecycle — a circular loop (Day 1) ]

 Data Collection → Data Preparation → Training → Evaluation → Deployment → Monitoring
      ▲                                                              │
      └──────── Return to beginning upon performance degradation ◄──┘