Of the Following Examples, Which would you address using an supervised learning Algorithm?(1 Point)given email labeled as spam or not spam, learn a spam filtergiven a set of news articles found on the web, group them into set of articles about the same story.given a database of customer data, automatically discover market segments and group customers into different market segments.find the patterns in market basket analysis

Which of the following statements involve machine learning models based on supervised learning:<br /> A. 1. An email spam filter uses previously tagged emails to classify messages as spam or non-spam. <br />B. 2. An AI artist generates unique paintings inspired by various art styles without explicit guidance. <br />C. 3. A self-driving car adapts its behavior to traffic conditions in real-time without using labeled data. <br />D. 4. A credit scoring system predicts the likelihood of default based on historical repayment data.

What is an example of a classification task in supervised learning?Select one:a.Determining whether an email is spam or notb.Predicting the stock price for the next day based on historical datac.Predicting the price of a house based on its characteristicsd.Grouping customers into different segments based on their spending habits

In which scenario would you use clustering?Answer areaTo classify emails as spam or not spamTo group customers based on purchasing behaviorTo predict the price of a houseTo detect fraud in financial transactions

In which scenario is regression machine learning most appropriate?Sorting emails into spam and non-spam categoriesPredicting the monthly sales revenue of a retail storeGrouping similar images into distinct classes Identifying fraudulent transactions in a credit card dataset

Which of the following is a common application of supervised machine learning?Unsupervised clustering of customer dataPredicting the win rate of a team from historical dataAll of the aboveComparing variances of two populations