Unsupervised Machine Learning algorithms are used when the information used to train is neither classified nor labeled.TrueFalse

What type of machine learning is used when the model learns from data that is neither classified nor labeled?Answer areaSupervised LearningUnsupervised LearningReinforcement LearningSemi-supervised Learning

Question 1Which of these best describes unsupervised learning? 1 pointA form of machine learning that finds patterns in data using only labels (y) but without any inputs (x) . A form of machine learning that finds patterns using unlabeled data (x). A form of machine learning that finds patterns without using a cost function.A form of machine learning that finds patterns using labeled data (x, y)

*Supervised vs. Unsupervised Machine Learning*

Which of the following is TRUE about unsupervised learning?I.  Unsupervised learning refers to the problem of finding hidden structures within unlabeled data.II.  Clustering techniques are unsupervised in the sense that the data scientist does not determine, in advance, the labels to apply to the clusters.II only neither I nor IIboth I and III only

rue or False: Unsupervised learning involves building a statistical model for predicting, or estimating an output based upon one or more inputs.Question 1Select one:TrueFalse