Question 41 PointLook at the figure below and consider the following scenario. Think about how dog owners train a dog to take actions based on rewards. For example, if the dog gets a treat every time he sits on command, he will take this action each time. In this case, behaviour can be learnt through trial and error. The correct behaviours are reinforced. Which type of machine learning is this? Type in your answer: Blank 1Figure: Human training a dog to sit and lift their pawFigure description: A human is teaching a dog how to sit and lift their paw. The dog is sitting on the ground, and the owner (a human) is standing and teaching the dog how to behave through patterns of reinforcement.  Blank 1Question 51 Point

Which machine learning models are trained to make a series of decisions based on the rewards and feedback they receive for their actions?(1 Point)Supervised learningUnsupervised learningAll of the aboveNone 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

Machine learning refers toGroup of answer choicescreating a computer system that simulates a model of the domain as it develops through timecreating a computer system to answer multichoice exam questionscreating a computer system based on asking experts how they do the task, and copying what they docreating a computer system that performs a task better when it is given more data

Which of the following best describes the concept of machine learning? a. Machines teaching humans b. Machines learning from their own experiences c. Humans learning from machines d. Machines learning from humans

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