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Questions and Answers
In machine learning, which method refers to the process of teaching a machine learning algorithm to make predictions or decisions based on input data?
In machine learning, which method refers to the process of teaching a machine learning algorithm to make predictions or decisions based on input data?
- Training model (correct)
- Batch gradient descent
- Computational complexity
- Gradient descent
What is the goal of training a model in machine learning?
What is the goal of training a model in machine learning?
- To analyze the efficiency and scalability of algorithms
- To enable the model to generalize well to new, unseen data (correct)
- To find the best-fitting linear relationship
- To minimize computational complexity
Which method in machine learning is concerned with analyzing the efficiency and scalability of algorithms?
Which method in machine learning is concerned with analyzing the efficiency and scalability of algorithms?
- Computational complexity (correct)
- Mini batch gradient descent
- Stochastic gradient descent
- Gradient descent
What is the basic idea behind linear regression in machine learning?
What is the basic idea behind linear regression in machine learning?
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Which algorithm in machine learning has a time complexity of $O(n log n)$?
Which algorithm in machine learning has a time complexity of $O(n log n)$?
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