Getting Started with Machine Learning Testing basics
Shift Left Testing in ML Model Engineering phase (Supervised Learning)
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Understand Machine Learning Model Life cycle stages with online/offline modes (5:27)
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How Machine Learning models works in nutshell -Learn terminologies used (11:19)
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Understand how OverFitting Testng & UnderFitting works with Trained data sets (11:04)
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Predicting House Prices (ML Model) Demo to show how internally Algorithms works (15:34)
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Revision on Supervised Learning Model Testing with Overfitting/UnderFitting ex (7:13)
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Material download
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Knowledge Check - Section-2
Unsupervised Learning Models Testing in Engineering Phase
Reinforcement Learning & Commonly used Frameworks and Algos in ML Models
Functional Testing for Machine Learning Models in Evaluation Phase
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What are Validation Unseen Data sets and why it is required (7:07)
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Temperature Testing to fine tune the response predictions from ML Models (9:16)
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Prompts Testing with Zero Shot & Chain of thought Prompts test (9:30)
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Relevance stary Testing & Fantasy claims testing on ML Models (12:53)
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Repeatability Testing & Asking question in different phases to test (0:07)
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Style Transfer testing & Intent recognition testing on ML Models (17:31)
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What is Invariance Testing & BiDirectional testing for AI Models (9:30)
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Material download
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Knowledge Check - Section-5
Introduction to API Testing on Machine Learning Models
Responsible AI Testing with examples on Machine Learning (AI) Models
Post Deployment Testing Types with examples on Machine Learning Models
Final words - Impact of Machine Learning Models in QA Space
