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Use Cases of Machine Learning | LambdaTest
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About The Video
Watch this video on machine learning and its use cases!
Machine Learning (ML) is a subset of Artificial Intelligence (AI) that involves the development of algorithms and statistical models that enable computers to perform tasks without explicit instructions. Its algorithm identifies the patterns and trends in the data that enable it to make decisions independently.
Video Chapters
00:00 Introduction
00:15 Machine Learning Use Cases
02:42 Closing
Key Topics Covered
Creating Tests Automatically: ML allows the creation of test cases without human intervention.
Automatic Application Changes Detection: ML can sense changes in applications and adjust accordingly.
Forecasting Test Case Outcomes: ML predicts whether test cases are likely to fail or pass in future executions, aiding in the scientific selection of test cases for regression suites.
Speeding Up Test Execution: ML optimizes the time it takes for elements to respond, leading to faster test execution.
redicting Root Causes for Test Failures: ML helps identify whether failures are due to locator issues, synchronization issues, data issues, or application issues, saving time for testers and automation engineers.
Self-Healing Tests: Reduces maintenance overhead by automatically addressing issues. Automated Test Case Deduplication: ML identifies and removes duplicate test cases, saving time and effort.
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