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Use Cases of Machine Learning | LambdaTest
Playlist
- What Is Cypress?
- What Is Playwright?
- What Is TestNG?
- What is an Emulator?
- What is pytest?
- What Is Mocha?
- What is Page Object Model?
- What is a Window in Selenium?
- What is JUnit?
- What is Headless Testing?
- What is Shadow DOM?
- What are Web Components?
- WebDriver Bidi Unveiled: What's New & How to Use It!
- What is Shift Left Testing?
- What is Responsive Testing?
- What is UI Testing?
- What is the 'git add' command?
- What is Localization?
- What are Alerts in Playwright?
- What is a JavaScript alert?
- What are Progressive Web Apps?
- GitHub vs Git Flow Explained
- What is Maven Jenkins Plugin?
- What is Parameterization?
- What is Appium?
- Role of Artificial Intelligence (AI) in Software Testing
- What is JUnit 5?
- What Are Different Selenium Wait Methods?
- How to Apply Timeout to The Class?
- What is Quality-Driven Development (QDD)?
- What are JUnit Annotations?
- Difference Between Hard Assert & Soft Assert in pytest
- What Are Flaky Tests And Where Do They Come From?
- AI-Driven Strategies in Software Testing
- Importance of Manual Testing
- What is Modal Dialog Box?
- Strategies for Accelerating Feedback
- What Are the Challenges in Test Automation?
- Best Tools for Software Developers
- What is Jenkins Pipeline?
- The Role of Human Testing in Quality Assurance
- What are WebSockets?
- JUnit 5 Architecture
- Impact of Generative AI on Testing
- Key features of WebdriverIO Waits
- How to Convert Test Scripts From JUnit 4 To JUnit 5?
- Difference between JUnit 4 and JUnit 5
- What are TestNG Annotations?
- AI Use Cases in Software Testing
- Use Cases of Machine Learning
- Most Used Git Commands
- Impact of User-Centric Testing on Product Quality and Customer Satisfaction
- Why Async and Await Are Crucial in WebdriverIO Testing
- Promises in JavaScript
- Finding Elements Using WebdriverIO Selectors
- Automating Build and Publish with Jenkins & GitHub
- Understanding Implicit Waits in Selenium
- Understanding Playwright Selectors
- Selenium Vs Cypress Vs Playwright: Key Differences at a Glance
- Setting Up JUnit 4 Dependency
- How to Handle Alerts in Selenium
- How to Minimize Browser Using the Robot Class in Selenium
- How to Test Cookies on a Website?
- Performance Testing: Backend & Frontend Strategies
- Contract Testing: Key Approaches and Best Practices
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.
LambdaTest
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