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

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

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)

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

examples of an unsupervised learning process?

Which of the following is NOT an attribute of Unsupervised Learning?1 pointThe algorithm ingests unlabeled data, draws inferences, and finds patterns from unstructured dataIt is useful for finding hidden patterns and or groupings in data and can be used to differentiate normal behavior with outliers such as fraudulent activityIt is useful for clustering data, where data is grouped according to how similar it is to its neighbors and dissimilar to everything elseTakes data and rules as input and uses these inputs to develop an algorithm that will give us an answer