Machine Learning Quiz

Hey there! Can you guess what we call the application of machine learning methods to analyze customer behavior?

• data mining

• artificial intelligence

• big data computing

• internet of things

Answer explanation

Application of machine learning methods to large databases is called data mining.

Hey there! Viaan is working on a cool machine learning project. If Viaan's model uses the target variable in its output, what kind of model is it?

• Informative model

• Fortune-telling model

• Adventure model

• All of the above

Answer explanation

If the machine learning model output involves the target variable, then that model is called a predictive model.

Hey there! Can you tell me in which type of learning we use labelled training data?

• unsupervised learning

• supervised learning

• reinforcement learning

• active learning

Answer explanation

In supervised learning, labelled training data is used to train the model by providing input-output pairs for learning.

Imagine Rahul, Asher, and Sanya embarking on an exciting project in their classroom! They are exploring different feature selection methods. Which method involves starting with an empty feature set?

• Forward feature selection

• Backward feature selection

• Both A and B

• None of the above

Answer explanation

In forward feature selection method, we start with an empty feature set and iteratively add features based on their contribution to the model performance.

Hey there! Can you guess if the statement below is true or false?

In PCA the number of input dimensions are equal to principal components

• True

• False

Answer explanation

The correct answer is false because in PCA, the number of input dimensions is typically greater than the number of principal components.

Avani, Aanya, and Aarav are planning a fun project together. They want to use PCA to reduce the dimensions of their data and visualize it effectively. Is this statement true or false?

• true

• false

Answer explanation

PCA can indeed be used for projecting and visualizing data in lower dimensions, making the statement true.

Hey there! Can you help Krish, Divya, and Akhil choose the ultimate machine learning method?

• scalable

• accuracy

• fast

• all of the above

Answer explanation

The correct choice is 'all of the above' because the best machine learning method should be scalable, accurate, and fast.

Hey there! Can you tell me what makes unlabeled examples stand out in the world of machine learning?

• They come with no prior knowledge

• They come with no confusing knowledge

• They come with some prior knowledge

• They come with a lot of confusing knowledge

Answer explanation

Unlabeled examples in machine learning are characterized by the absence of prior knowledge, making them instances where there is no prior knowledge.

Hey there! Can you tell me what dimensionality reduction helps with?

• stochastics

• collinerity

• performance

• entropy

Answer explanation

Dimensionality reduction reduces collinearity, which is the presence of high correlations between predictor variables in a dataset.

Hey there! Can you help Rahul with this exciting challenge? What type of data is used to build a data mining model in a machine learning project?

• training data

• validation data

• test data

• hidden data

Answer explanation

Training data is used to build a data mining model by training the model on this data to learn patterns and relationships.