Question 1

What does the term "heuristics" refer to in the context of data science?

Options :

A : Metrics used to evaluate the performance of a trained model

B : Preprocessing steps applied to the input data before training the model

C : Techniques for optimizing the performance of machine learning models

D : Problem-solving techniques or strategies that prioritize speed and efficiency over accuracy

Answer: D

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

What process involves transforming data into a standard format suitable for analysis or modeling?

Options :

A : Data visualization

B : Feature engineering

C : Data preprocessing

D : Model evaluation

Answer: C

Question 4

What is the primary purpose of continuous integration/continuous deployment (CI/CD) pipelines in DevOps?

Options :

A : To select the best hyperparameters for the model

B : To preprocess the input data before training the model

C : To evaluate the performance of a trained model

D : To automate the process of building, testing, and deploying software changes

Answer: D

Question 5

Which statistical concept measures the strength and direction of the linear relationship between two continuous variables?

Options :

A : Pearson correlation

B : Entropy

C : Gini index

D : Spearman correlation

Answer: A