Question 7What is unsupervised learning?1 pointFitting a model without manually tuning the input features, i.e. unstructured dataFinding patterns in a dataset using limited labeled dataFitting a model using de-identified patient dataFinding patterns in a dataset based on the structure of the data as opposed to pre-determined labels 8.Question 8

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)

Question 4Which 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 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 answerIt is useful for finding hidden patterns and or groupings in data and can be used to differentiate normal behavior with outliers such as fraudulent activity

Supervised and Unsupervised LearningIdentify the type of problem in the following scenario.Consider a large data set of medical profiles of cancer patients with no labels. The model has to learn if there are different groups of such patients for which separate treatments may be tailored.Supervised learningUnsupervised 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

What is a major benefit of unsupervised learning over supervised learning?1 pointExplore the relationship between features and the target.Better evaluates the performance of a built model.Discover previously unknown information about the dataset.Being able to produce a prediction based on unlabelled data.