[amp_mcq option1=”supervised” option2=”unsupervised” option3=”semi-supervised” option4=”cant say” correct=”option1″]<\/p>\n
The correct answer is: A. supervised.<\/p>\n
Linear regression is a supervised machine learning algorithm. This means that it is trained on a set of data that includes both the input variables and the desired output. The algorithm then learns to map the input variables to the output variables.<\/p>\n
Supervised learning algorithms are used in a wide variety of applications, including spam filtering, fraud detection, and medical diagnosis.<\/p>\n
Unsupervised learning algorithms are used when there is no labeled data available. These algorithms can be used to find patterns in data, such as clusters or outliers.<\/p>\n
Semi-supervised learning algorithms are used when there is a small amount of labeled data available. These algorithms can be used to improve the performance of supervised learning algorithms.<\/p>\n
I hope this helps!<\/p>\n","protected":false},"excerpt":{"rendered":"
[amp_mcq option1=”supervised” option2=”unsupervised” option3=”semi-supervised” option4=”cant say” correct=”option1″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[729],"tags":[],"class_list":["post-54414","post","type-post","status-publish","format-standard","hentry","category-machine-learning","no-featured-image-padding"],"yoast_head":"\n