Q. What is the challenge associated with the k-means algorithm?

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Q. How can the challenge associated with the k-means algorithm be mitigated?

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Q. Which category of clustering algorithms creates a nested set of clusters?

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Q. What is the primary difference between agglomerative and divisive hierarchical clustering?

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Q. In logistic regression, what is the dependent variable typically referred to as?

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Q. What does the conditional probability of a category given the input represent in logistic regression?

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Q. How is logistic regression different from linear regression?

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Q. What type of table shows correct and incorrect classifications in logistic regression?

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Q. What is the primary focus of reinforcement learning in machine learning?

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Q. Which area of study in a control system deals with understanding the effect of inputs on the output?

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Q. What is one of the challenges presented by dynamic systems in control theory?

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Q. What does Gaussian processes offer as a family of stochastic processes in modeling dynamics?

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Q. In the context of active learning, what does "exploitation" refer to?

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Q. What is one of the design choices involved in modeling dynamic systems for learning and optimization?

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Q. What does the Bayesian optimal control framework facilitate when modeling dynamic systems?

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Q. Which machine learning approach is suitable for learning feedback operators in dynamic systems?

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Q. What is the primary goal of feature construction in machine learning?

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Q. What is a key challenge that smart cities aim to address using interconnected information?

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Q. How can optimization algorithms help in smart city applications, such as water management?

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Q. What is the main advantage of smarter traffic systems in urban areas?

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