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

Q.No 7. Which category of machine learning focuses on maximizing a cumulative rewardthrough sequential decision-making?a. Supervised Learningb. Unsupervised Learningc. Reinforcement Learningd. Semi-supervised Learning

Which AI technique involves training a model on a large dataset to make predictions or decisions?OptionsReinforcement learningUnsupervised learningGenetic algorithmsSupervised learning

Training the existing ML models so that they may produce well a sequence of decisions is called asSupervised methodUnsupevised methodSemi supervised methodReinforcement method

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 AI technique involves training a model on a large dataset to make predictions or decisions?