Please give one example each for supervised learning classification problems, supervised learning regression problems, and unsupervised learning. For each problem, list independent variables and dependent variables.

Q2

Name entities, attributes, activities, events, and state variables for the following systems andDiscuss whether the simulation should be static or dynamic, deterministic, or stochastic,continuous, or discrete.a) Hotel with 200 Rooms        b) Rent a car company

A model is used to generate a forecast using features as inputs and returning a prediction in a subset of machine learning called as is.... The following are some examples of new cutting-edge models that have become viable:

how to generate the loss and f1-score curve for training and validation set in deep learning

Consider the following five applications of graph theory in artificial intelligence.

You are developing a simulation model of a service system and are trying to create aninput model of the customer arrival Process, You have the following four observations of the process of interest [86, 24,9, 50] and you are considering either an exponential distributionOf a uniform distribution for the model. Using the data to estimate any necessary distributionParameters, write the steps to plot Q-Q plots for both cases.

You are developing a simulation model of a service system and are trying to create an input model of the customer arrival Process, You have the following four observations of the process of interest [86, 24,9, 50] and you are considering either an exponential distributionor a uniform distribution for the model. Using the data to estimate any necessary distribution Parameters, write the steps to plot Q-Q plots for both uniform and exponential distribution.  Write the steps clearly. Thanks.

You have four various machine learning algorithms to pick from for supervised learning on a dataset. Describe any four factors you would use to help you decide which one to employ for a certain task.