Introduction To Machine Learning Models (AI) Testing

Introduction To Machine Learning Models (AI) Testing
Published 10/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

From Scratch, Learn testing types and Strategies involved in all the phases of ML Models (AI) with real time examples

Understanding Lifecycle of Machine Learning Models and their testing Scope
Shift-Left Testing in the ML Engineering Phase such as OverFitting & UnderFitting Testing
QA Functional Testing in the ML Validation Phase with 25 different Testing types & Strategies
API Testing Scope for Machine Learning Models with ChatGPT Model example
Responsible AI Testing for Machine Learning Models such as Bias, Fairness, Ethical, Privacy Testing etc
Post-Deployment Testing Strategies for ML Models such as DataDrift & Concept Drift testing
Continuous Tracking and Monitoring Activities for QA in Production

Requirements None. All the concepts are taken care with Scratch explanation