You work in a data science team that wants to improve the accuracy of its K-nearest neighbor result by running on top of a naive Bayes result. What is this an example of?

____ looks at the relationship between predictors and your outcome.

What is an example of a commercial application for a machine learning system?

You work for a power company that owns hundreds of thousands of electric meters. These meters are connected to the internet and transmit energy usage data in real-time. Your supervisor asks you to direct project to use machine learning to analyze this usage data. Why are machine learning algorithms ideal in this scenario?

To predict a quantity value. use ___.

Why is naive Bayes called naive?

Which statistical data mining techniques is used to predict a categorical response variable?

Output of code in MATLAB? z = [6 9 4 3 5]: polyval(z,3)

In relation to machine learning classif‌ication, which of following options refers to the graphical model for probability associations between a set of variables?

Output of code in MATLAB? X = 45; Y = 21; Z = bitor(X, Y) Z = bitxor(X, Y) Z = bitshift(X,-3) Z = bitshift(X,4)

In machine learning, which Of the following Options is the correct way for def‌ining the F1-Score?