1: How does the concept of Bayesian inference apply to machine learning?
2: What is the role of variational inference in probabilistic models?
3: How can ensemble methods mitigate the effects of model bias?
4: What are the implications of explainable AI in high-stakes decision-making?
5: How does curriculum learning improve convergence in deep learning models?
6: What is the significance of sparsity in neural networks?
7: How do you leverage meta-learning for few-shot learning tasks?
8: What are the trade-offs between precision and recall in model evaluation?
9: How do you assess the uncertainty in AI predictions?
10: What is the impact of model interpretability on user trust?
C is a general-purpose programming language that is widely used for system programming and application development.
C++ is a high-level programming language that supports object-oriented, procedural, and generic programming paradigms.
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A linked list is a linear data structure where each element is a separate object, and elements are linked using pointers.
A stack is a linear data structure that follows the Last In First Out (LIFO) principle, where elements are added and removed from the top.
Strings are sequences of characters used to store and manipulate text in programming, offering various operations for data handling.
Computer Networking refers to the practice of connecting computers and devices to share resources and information.
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Theory of Computation deals with understanding the capabilities and limitations of computers in solving problems.
HTML (HyperText Markup Language) is the standard markup language for documents designed to be displayed in a web browser.
The Internet of Things (IoT) is a network of interconnected devices that communicate and exchange data with one another.
