Support vector machines are a popular machine learning technique primarily because of:

The strong assumption of independence among the input variables in the Naïve Bayes method is realistic.

Structured, human-mediated machine-learning approaches have been working fine for rather abstract and formal tasks.

Neural networks have been described as “biologically inspired.” What does this mean?

In supervised learning techniques, such as backpropagation, the training data consist of vector pairs—an input vector and a target vector.

Routine decisions are more likely to be fully automated, especially if they are simple.

Which type of neural network is characterized by allowing feedback connections?

Which of the following are advantages of the Naïve Bayes method or classification?

On an assembly line, doll components parts are assembled randomly in three separate consecutive steps.  While there is one body and face for every doll, the machine randomly selects:One of three possible hats (ballcap, tall hat, chef hat)One of four possible hair colors (yellow, brown, black, or red);One of three possible outfit colors (blue, red, or white); and finally One of five possible shoe colors (blue, brown, black, gray, or white).(1) How many different doll outcomes are possible in this assembly line production? [Outcomes](2) What is the probability of producing the “Crackle” doll pictured above in the middle?    (Provide your answer to 4 decimal places)  [ThisDoll] 

A local establishment is hosting a tailgate event for the next game in the Bradley versus Illinois State rivalry.  There are only three (3) beverage choices, and the attendees are from both schools and a group we will classify as “Don’t Care Who Wins.” Below is a partial frequency table:    Beer  Soda  Water  Total    Bradley  43    20      Illinois State      32  26  100    Don’t Care Who  20  53            60  300 (Provide probability answers to 4 decimal places.) (1) How many attendees don’t care about who wins?  [Dontcare] (2) How many beers were sold?  [BeersSold] (3) What is the probability of a Bradley fan attending? [Ans3] (4) What is the probability of an attendee not drinking beer?  [NoBeer] (5) What is the probability of this (in the photo below): [ans5] .   (6) Assume no one had anything to drink prior to coming to the event.  Sadly, we find an attendee passed out drunk in the back patio. What is the probability this drunk attendee is a Bradley fan?  [BUgivenBeer] (7) We are having another event for the next time Bradley and ISU compete.  If we anticipate attendance of 350 people at this next event, what is the minimum number of sodas we should have on stock? (Round to a whole number)  [SodaStock] (8) Are the events “Don’t Care” given drinking soda independent events?  Answer by providing statistical numbers.  [Indep]