QUIZ-I

What is the main goal of machine learning?

• To write algorithms that can perform specific tasks

• To develop intelligent machine that can think and reason

• To enable computers to learn from data and improve performance over time

• To Create systems that can mimic human behaviour

What is the purpose of the training set in machine learning?

• To test the performance of the model on new data

• To fine-tune the hyperparameters of the model

• To evaluate the performance of the model

• To teach the model to make predictions based on labelled examples

You are given reviews of a few movies marked as positive, negative, or neutral. Classifying reviews of a new movie is an example of

• Reinforcement learning

• Semi-supervised learning

• Unsupervised learning

• Supervised learning

In machine learning, what is the definition of a feature?

• A measurement or characteristic that describes an input data point

• The output or prediction generated by a machine-learning model

• The process of transforming raw data into a usable format for machine learning algorithms

• The evaluation metric used to assess the performance of a machine learning model

Which of the following is a categorical feature? 

• Amount of rainfall in a day 

• Price of petroleum 

• Mother tongue of a person 

• Height of a person 

What is the primary goal of supervised learning?  

• To cluster similar data points together 

• To uncover hidden patterns in the data 

• To learn from labelled examples and make predictions or decisions on unseen data

• To learn from rewards and punishments to maximize performance 

Which of the following task(s) can be solved using unsupervised learning? 

• Image classification 

• Customer segmentation

• Anomaly detection 

• Spam email detection

Which of the following is a classification task?

• Predict the number of copies of a book that will be sold this month 

• Predict the price of a house based on floor area, number of rooms, etc.

• Predict the age of a person 

• Predict whether there will be abnormally heavy rainfall next year 

Which of the following statement(s) is/are true about unsupervised learning in machine learning? 

• Unsupervised learning algorithms require labelled training data 

• Unsupervised learning algorithms discover patterns and structures in unlabeled data

• Clustering and dimensionality reduction are examples of unsupervised learning  techniques 

• Unsupervised learning is used for classification tasks 

• Anomaly detection is a common application of unsupervised learning

Which of the following statement(s) is/are true about supervised learning in machine learning? 

• Supervised learning requires labelled training data 

• The goal of supervised learning is to discover hidden patterns in unlabeled data

• Classification and regression are examples of supervised learning tasks

• Supervised learning algorithms can make predictions on new, unseen data

• K-means and Hierarchical Clustering are supervised learning algorithms