What is adaptive learning
- 1 Answers
- 184 Views
- I also Faced
- E-Mail Answers
Answer / Rajni Singh
Adaptive learning is a type of machine learning that allows AI systems to continually adapt and improve their performance over time by adjusting their behavior based on new data or feedback. This is in contrast to traditional machine learning where models are trained once and then remain static.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain the concept of SHAP and its role in XAI.
What is personalized medicine, and how does AI enable it?
Can you describe the importance of Edge AI for real-time processing and decision-making?
How does generative systems aid in developing more realistic and engaging AI-generated content?
What AI techniques are used to generate procedural content in video games?
How do reinforcement learning algorithms improve gaming AI?
How does XAI relate to transparency and accountability?
What is the role of AI in drug discovery?
How can AI be used to detect fraudulent activities in finance?
What is model interpretability, and why is it important?
What applications can benefit from neuromorphic systems?
What are the advantages of running AI models on IoT devices?
-
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)
