An online retailer stores customers’ purchase histories and preferences so it can personalize future offers and manage ongoing relationships. Which resource supports this approach?

A customer is comparing competing products and considering a first trial. Which adoption-process stage should persuasive messages address for this customer?

A company spends $30,000 on advertising and earns $1,000,000 in sales. What is its advertising-to-sales ratio?

Lesson 2 Naïve Bayes   Choose the correct naïve assumptions of the naïve Bayes model (Choose 2).

Lesson 5   Why is the HDF5 format useful for handling big data? (Choose 2)

Lesson 5 ARIMA Modeling   Which of steps is not part of the process for setting up an optimal ARIMA modeling?

Lesson 4 Not-so-naïve Bayes   When you develop a not-so-naïve Bayes model using KDE with a Gaussian kernel, which assumption of the naïve Bayes algorithm is rejected?

Lesson 3 Python API’s   Which of the following is generally easiest to use for extracting online data?

Lesson 1 k-Nearest Neighbors   Let assume that a dataset consists of 4 data points. The followings are the coordinates and the label of each data point:   Point A: (2, 4) / class 0 Point B: (0, 0) / class 1 Point C: (-1, 3) / class 0 Point D: (3, 2) / class 1   If you train a 1-NN model on this dataset, what would be the prediction for Point B?

Lesson 2 Expectation-Maximization Models   Which of the following is a common feature of k-means and Gaussian mixture model?