Which of the following statements is false?
A) The two main types of machine learning are xe "supervised machine learning"supervised machine learning, which works with unxe "labeled data"labeled data, and xe "unsupervised machine learning"unsupervised machine learning, which works with xe "unlabeled data"labeled data.
B) If you're developing a computer vision application to recognize dogs and cats, you'll train your model on lots of dog photos labeled "dog" and cat photos labeled "cat." If your model is effective, when you put it to work processing unlabeled photos it will recognize dogs and cats it has never seen before. The more photos you train with, the greater the chance that your model will accurately predict which new photos are dogs and which are cats.
C) In this era of big data and massive, economical computer power, you should be able to build some pretty accurate machine learning models.

Question

Quizplus · Accepted Answer

A) is false because supervised machine learning works with labeled data, not unlabeled data, and unsupervised machine learning works with unlabeled data, not labeled data.

Which of the Following Statements Is False