Question 1

What is the primary purpose of reinforcement learning in machine learning?

Options :

A : To enable agents to learn optimal actions through trial and error

B : To preprocess the input data before training the model

C : To select the best hyperparameters for the model

D : To evaluate the performance of a trained model

Answer: A

Question 2

What method of supervised machine learning is used for predicting continuous numeric outcomes?

Options :

A : Classifiers

B : Regressors

C : Embeddings

D : Recommender systems

Answer: B

Question 3

Which concept refers to the process of selecting only a subset of relevant features for model training?

Options :

A : Model validation

B : Model deployment

C : Feature selection

D : Feature engineering

Answer: C

Question 4

In machine learning, what term describes the process of selecting the best set of hyperparameters for a model?

Options :

A : Model deployment

B : Model validation

C : Feature engineering

D : Hyperparameter tuning

Answer: D

Question 5

What is the primary goal of regularization techniques in machine learning?

Options :

A : To reduce overfitting

B : To increase variance

C : To reduce bias

D : To increase model complexity

Answer: A

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