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

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

Outline the key differences between supervised and unsupervised Machine Learning algorithms used in healthcare.

Describe supervised learning and unsupervised learning related to KM

*Supervised vs. Unsupervised Machine 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)