You and your data science team have 1 TB of example data. What do you typically do with that data?

Your data science team is working on a machine learning product that can act as an artificial opponent in video games. The team is using a machine learning algorithm that focuses on rewards: If the machine does some things well, then it improves the quality of the outcome. How would you describe this type of machine learning algorithm?

The model will be trained with data in one single batch is known as ?

Which of the following is NOT supervised learning?

Suppose we would like to perform clustering on spatial data such as the geometrical locations of houses. We wish to produce clusters of many different sizes and shapes. Which of the following methods is the most appropriate?

The error function most suited for gradient descent using logistic regression is

In relation to artificial neural network, the Recurrent Neural Networks (RNN), should NOT be used for which of the following types of data?

In relation to artificial neural network, which of the following options is designed for working with sequence prediction problems?

Which of the following statements is correct about validation?

Which is NOT a characteristic of the NlCeSim simulator, which uses machine learning techniques?

Simulation languages offer less flexibility than application-oriented simulators.