Question 5Which of the following are machine learning models? Select all that apply.1 pointSupervised LearningUnsupervised LearningModel trainingReinforcement Learning

Question 9Which machine learning model is used to solve regression and classification problems?1 pointModel trainingReinforcement LearningUnsupervised LearningSupervised Learning

Question 7All of the listed below are part of the Machine Learning Framework, except:1 pointObservationsFeaturesParametersNone of the above

Question 3Which of the following is NOT an attribute of Machine Learning? 1 pointTakes data and answers as input and uses these inputs to create a set of rules that determine what the Machine Learning model will be Machine Learning defines behavioral rules by comparing large data sets to find common patternsTakes data and rules as input and uses these inputs to develop an algorithm that will give us an answerMachine Learning models can be continuously trained

Question 6Which of the following statements about datasets used in Machine Learning is NOT true?1 pointTesting data is data the model has never seen before and is used to evaluate how good the model isTraining subset is the data used to train the algorithm Training data is used to fine-tune algorithm’s parameters and evaluate how good the model isValidation data subset is used to validate results and fine-tune the algorithm's parameters

Which one of these ways is NOT how AI learns?1 pointSupervised LearningReinforcement LearningProactive LearningUnsupervised Learning