Solve the following system of equations. You may use any method, but show all of your work (submitted to the dropbox folder “Work for Test #2”. If using your calculator to solve the system with matrices, you must show your original matrix and the matrix the calculator gives you, in addition to your answer. Solving the equation by guessing numbers is worth 0 points.  x = z – y 2x = y 2z = 2x + y + 2

For the following system, determine how many solutions there are in nonnegative integers. (That means, we assume that the variables can only represent nonnegative integer values.) 6x + 3y – z = 102         3y + z = 114 I want to see your work for this problem. You might solve this problem without using matrices or your calculator, so show me that work. Instead, you might solve this problem by using matrices and your calculator, so show me that work. If you solve the problem using matrices and your calculator, the work I want to see will include the following: the matrix that you put into the calculator, the matrix that you get from the calculator, and also your answer. (That’s three things you must show, though this problem will probably require more than just that.) You will need to submit your work for this problem to the Dropbox folder “Work for Test #2”. Failure to follow these instructions will mean that you will get 0 points for this problem, even if you have the right answer.  Remember as always:  If there is no solution, you must say so. 

Which of the following strives to have computers produce ordinary spoken language so that people can understand the computers more easily?

Deep learning is a separate branch of science from AI.

Which type of learning system is represented by the following process: input – manually created representation – output?

Ensemble models can be quickly characterized based on their use of a bagging or boosting method type.

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?