You work for a music streaming service and want to use supervised machine learning to classify music into different genres. Your service has collected thousands of songs in each genre, and you used this as your training data. Now you pull out a small random subset of all the songs in your service. What is this subset called?

In traditional computer programming, you input commands. What do you input with machine learning?

Your company wants to predict whether existing automotive insurance customers are more likely to buy homeowners insurance. It created a model to better predict the best customers contact about homeowners insurance, and the model had a low variance but high bias. What does that say about the data model?

You want to identify global weather patterns that may have been affected by climate change. To do so, you want to use machine learning algorithms to find patterns that would otherwise be imperceptible to a human meteorologist. What is the place to start?

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.

Which statements is correct? Statement 1: In stochastic simulation environments, machine learning is performed by combining multiple transmutations. Statement 2: Stochastic simulation is used for modelling a system whose operation can be directly captured by deterministic rules.

Output of the code in MATLAB. A = [8 4 7 5 3] isinteger(A) isf‌loat(A) isvector(A) isscalar(A)

The EIasticNet regression technique:

Output of following code executed in MATLAB. m = roots([?., 8])

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