In 2015, Google created a machine learning system that could beat a human in the game of Go. This extremely complex game is thought to have more gameplay possibilities than there are atoms of the universe. The first version of the system won by observing hundreds of thousands of hours of human gameplay; the second version learned how to play by getting rewards while playing against itself. How would you describe this transition to different machine learning approaches?

The security company you work for is thinking about adding machine learning algorithms to their computer network threat detection appliance. What is one advantage of using machine learning?

You work for a hospital that is tracking the community spread of a virus. The hospital created a smartwatch application that uploads body temperature data from hundreds of thousands of participants. What is the best technique to analyze the data?

Many of the advances in machine learning have come from improved ___.

Naive Bayes looks at each _ predictor and creates a probability that belongs in each class.

Someone of your data science team recommends that you use decision trees, naive Bayes and K-nearest neighbor, all at the same time, on the same training data, and then average the results. What is this an example of?

A multi-layer perceptron (MLP)is a:

Which of the following is NOT a multi-class classif‌ier?

Which tools is used for processing, analyzing and visualizing the large data sets and can provide native support for Apache Spark distributed computing?

Which of the following defines the F-score measure to assess the quality of text retrieval?

In the SVM classif‌ication approach, which of the following options is used for solving the issue of the low-sparse SVM classifier?