AI Testing Interview Questions and Answers - Couverture souple

Hooda, Anand

Couverture souple

ISBN 13 : 9798379370763

Editeur : Independently published, 2023

Synopsis

This book covers real-time AI Testing Interview Questions with Answers like:

1. How to test accuracy of an AI application?
2. How to test accuracy of an AI application is increasing?
3. What are different ways by which we can test the accuracy of an AI application?
4. What are the main challenges to test the accuracy of an AI application?
5. What are some common metrics used to measure the accuracy of an AI model?
6. How do you ensure that an AI system is reliable and produces consistent results?
7. Can you explain the difference between supervised and unsupervised learning, and how it affects testing?
8. What are some common techniques for testing the performance of a chatbot?
9. How do you test noisy data in an AI model?
10. Can you explain the difference between testing and validation in the context of AI?
11. How do you test that an AI model is compliant with data privacy regulations?
12. What are some common testing strategies for deep learning models?
13. What is hyperparameter tuning, and how does it affect testing?
14. How do you test the accuracy of time-series forecasting models?
15. How do you test the fairness of an AI model?

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2023
• ISBN 13: 9798379370763
• Reliure: Broché
• Langue: anglais
• Nombre de pages: 53
• Coordonnées du fabricant: non disponible