Machine Learning Quiz

What is the primary goal of Artificial Intelligence (AI)?

• To replace human workers in all fields

• To automate intellectual tasks normally performed by humans

• To create robots that can perform physical tasks

• To enhance human intelligence

Which of the following best defines Machine Learning (ML)?

• A technology that only works with structured data

• A system that requires constant human input

• A method for programming computers to perform tasks

• A type of AI that allows computers to learn without being explicitly programmed

What is an example of a task in a handwriting recognition learning problem?

• Translating languages

• Predicting stock prices

• Driving on highways using vision sensors

• Classifying handwritten words within images

In the Machine Learning Life Cycle, what is the first step?

• Deployment

• Gathering Data

• Data Preparation

• Data Analysis

What does the term 'Data Wrangling' refer to?

• The deployment of machine learning models

• The analysis of data to find patterns

• The process of cleaning and converting raw data into a usable format

• The collection of data from various sources

Which type of learning uses labeled data to build a model?

• Reinforcement Learning

• Supervised Learning

• Deep Learning

• Unsupervised Learning

What is the purpose of the 'Test Model' step in the Machine Learning Life Cycle?

• To gather more data

• To deploy the model

• To check the accuracy of the model

• To prepare the data for analysis

Which of the following is an example of reinforcement learning?

• Clustering customers based on purchasing behavior

• Classifying images into categories

• A robot learning to navigate obstacles

• Predicting house prices

What is the main characteristic of Unsupervised Learning?

• It uses labeled data for training

• It requires human supervision

• It is only applicable to numerical data

• It works with data that has not been labeled

Which of the following is NOT a type of Machine Learning?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Statistical Learning