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9 Modules
Which of the following statements best defines Machine Learning?
Machine Learning is a subset of artificial intelligence that enables systems to learn from data.
Machine Learning is a programming technique that requires extensive human intervention.
Machine Learning is a method of data analysis that automates analytical model building.
Machine Learning is primarily focused on rule-based algorithms.
Which of the following are types of Machine Learning?
Supervised Learning
Unsupervised Learning
Reinforcement Learning
All of the above
In the context of supervised learning, what is the primary purpose of the training dataset?
To evaluate the performance of the model.
To provide the model with input-output pairs for learning.
To test the model's ability to generalize.
To tune hyperparameters of the model.
What is overfitting in Machine Learning?
When a model performs well on training data but poorly on unseen data.
When a model is too simple to capture the underlying patterns in the data.
When a model is trained on too little data.
When a model generalizes well to new data.
Which of the following metrics can be used to evaluate the performance of a classification model?
Accuracy
Precision
Recall
All of the above
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9 Modules