Machine Learning - Quiz on Learning

What is Supervised Learning?

• Learning without labels

• Learning from labeled data

• Learning through trial and error

• Learning from clusters

Which of the following is an example of Supervised Learning?

• K-means clustering

• Decision Trees

• Principal Component Analysis

• Autoencoders

What is the basic building block of the brain that inspires neural networks?

• Axon

• Synapse

• Neuron

• Dendrite

Which of the following best describes a concept learning task?

• Identifying clusters in data

• Learning a function from labeled examples

• Predicting future outcomes

• Reducing dimensionality of data

What is the goal of Concept Learning as Search?

• To find a minimally general hypothesis

• To find a maximally specific hypothesis

• To find all possible hypotheses

• To eliminate specific concepts

Which algorithm is used to find the version spaces of hypotheses?

• KNN Algorithm

• Candidate Elimination Algorithm

• Apriori Algorithm

• Backpropagation Algorithm

What is a Version Space in Concept Learning?

• The space of all possible clusters

• The set of all consistent hypotheses

• The set of all incorrectly classified instances

• The space of all data points

What is a Linear Discriminant?

• A method to separate classes using a linear equation

• A method to find non-linear relationships

• A clustering technique

• A dimensionality reduction technique

What is the purpose of a Perceptron?

• To perform dimensionality reduction

• To classify data based on a linear separator

• To cluster data points

• To perform hierarchical classification

What is Linear Separability?

• Ability to separate data points using a linear equation

• Ability to group data points using a polynomial equation

• Ability to reduce data dimensions

• Ability to perform non-linear regression