Machine Learning

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Questions for Machine Learning (30)
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How to design an AI system capable of continual learning and adapting to new environments? (Lifelong Learning/Continual Learning)
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9/17/2025
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What are supervised learning and unsupervised learning?
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9/17/2025
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What are training data and test data, and what are their respective purposes?
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9/17/2025
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Can humanoid robots learn new skills by observing human behavior? (Imitation Learning)
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9/17/2025
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What are the applications of Bayes' theorem in machine learning? For example, Naive Bayes classifier.
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9/17/2025
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What impact will the rise of Self-supervised Learning have on the future development of AI?
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9/17/2025
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What is Natural Language Processing (NLP)? Please provide a few examples of NLP applications.
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9/17/2025
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What is a Loss Function? What role does it play in model training?
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9/17/2025
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What is Causal Inference? What are the fundamental differences between it and traditional predictive modeling?
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9/17/2025
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What is a Generative Adversarial Network (GAN)? How does it generate new data?
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9/17/2025
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What is Transfer Learning? What are its advantages?
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9/17/2025
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What are Overfitting and Underfitting? How to avoid them?
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9/17/2025
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What is a feature? What does it refer to in AI?
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9/17/2025
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What is an Optimizer (e.g., Gradient Descent), and how does it work?
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9/17/2025
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What is a regression problem? Please provide an example.
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9/17/2025
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What is Cross-validation? Why is it important?
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9/17/2025
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What is data? Why does AI require a large amount of data?
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9/17/2025
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What is Deep Learning (DL)? How does it differ from traditional Machine Learning?
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9/17/2025
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What is Feature Engineering, and why is it crucial for model performance?
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9/17/2025
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How to interpret a deep learning model's prediction results (Explainable AI/XAI)? What methods can achieve this?
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9/17/2025