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?

Lesson 1 Blessing and Curse of Dimensionality   Consider two points a = 0 and b = 1 that exist in spaces with different dimensions d ∈ [2, 8, 32, 128] (e.g. if d = 2 then a = [0, 0]). The blessing of dimensionality refers to the fact that distance between points a and b:

Lesson 2 Principal Component Analysis   Which of the following is not true about PCA?