Interested to Buy Any Domain ? << Click Here >> for more details...
How do you deal with performance degradation of a model over time (model drift)?
- 1 Answers
- 102 Views
- I also Faced
- E-Mail Answers
Answer / Gaurav Goel
To address model drift, there are several approaches: active monitoring to identify changes in the data distribution, retraining the model on more recent data, using ensemble methods for better robustness, and incorporating online learning algorithms that adapt to changing conditions.
| Is This Answer Correct ? | 0 Yes | 0 No |
Can you describe the importance of model interpretability in Explainable AI?
How can AI help financial institutions with stock price prediction?
Can you explain how AI is used in education for adaptive learning?
Explain procedural content generation in game development.
Explainable AI (XAI):
Explain the concept of a loss function in machine learning.
You've built a chatbot, but users report it is giving inconsistent responses. What are your first steps to debug?
How does AI contribute to reducing medical errors?
What ethical concerns arise in deploying autonomous systems?
What are the differences between L1 and L2 regularization?
Explain algorithmic trading and the role of AI in it.
How does human feedback improve AI models?
-
AI Algorithms (74) - AI Natural Language Processing (96)
- AI Knowledge Representation Reasoning (12)
- AI Robotics (183)
- AI Computer Vision (13)
- AI Neural Networks (66)
- AI Fuzzy Logic (31)
- AI Games (8)
- AI Languages (141)
- AI Tools (11)
- AI Machine Learning (659)
- Data Science (671)
- Data Mining (120)
- AI Deep Learning (111)
- Generative AI (153)
- AI Frameworks Libraries (197)
- AI Ethics Safety (100)
- AI Applications (427)
- AI General (197)
- AI AllOther (6)
