CSE II F ML WORKSHOP

Among the following option identify the one which is not a type of learning

• Semi Unsupervised Learning
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning

Answer explanation

Semi Unsupervised Learning

Identify the kind of learning algorithm for  “facial identities for facial expressions”.

• Prediction
• Recognition Patterns
• Recognizing Anomalies
• Generating Patterns

Answer explanation

For facial identities and facial expression, “recognition patterns” is used.

Identify the type of learning in which labeled training data is used.

• Semi unsupervised learning
• Supervised learning
• Reinforcement learning
• Unsupervised learning

Answer explanation

Supervised learning uses labeled training data.

Machine learning is a subset of which of the following.

• Artificial Intelligence
• Deep Learning
• Data Learning
• None of these

Answer explanation

Machine Learning is a subset of Artificial Intelligence

The father of machine learning is

• Geoffery Everest Hinton
• Geoffery Chaucer
• Geoffery Hill
• None of the above

Answer explanation

The father of machine learning is Geoffrey Everest Hinton.

Application of machine learning is

• email filtering
• facial recognition
• sentiment analysis
• All of the above

Answer explanation

All of the above

The term Machine Learning was coined in

• 1958
• 1959
• 1960
• 1961

Answer explanation

the term machine learning was coined in 1959

K-Nearest Neighbors (KNN) is classified as what type of machine learning algorithm?

• Instance-based learning
• Parametric learning
• Non-parametric learning
• Model-based learning

Answer explanation

KNN doesn’t build a parametric model of the data. Instead, it directly classifies new data points based on the k nearest points in the training data.

Which of the following is not a supervised machine learning algorithm?

• K-means
• Naïve Bayes
• SVM for classification problems
• Decision tree

Answer explanation

Decision tree, SVM (Support vector machines) for classification problems and Naïve Bayes are the examples of supervised machine learning algorithm. K-means is an example of unsupervised machine learning algorithm.

The learner is trying to predict housing prices based on the size of each house. What type of regression is this?

• Multivariate Logistic Regression
• Logistic Regression
• Linear Regression
• Multivariate Linear Regression

Answer explanation

Learner is trying to predict a discrete number instead of binary output (yes or no / 0 or 1, etc.). Hence, it is a linear regression and not a logistic regression. Since there is only one independent variable, it is not multivariate linear regression.