This page lists down second set of objective questions which represents interview questions that have been asked in various amazon machine learning interviews. Here is the first set of questions. These questions have been gathered from sources such as Glassdoor and other places on the internet. Following areas are covered in this set of questions:
The difference between convex and non convex polygons lies in the measure of their angles?
For a polygon to be convex, all of its interior angles must be less than _________ degrees
The cost function of neural network is _______?
The cost function of a neural network has _______ local maxima and minima?
Generative and discriminative algorithms, both, fall into the class which of the following algorithm?
Which of the following is models how the data was generated?
Which of the following uses data to model the decision boundary based on which data can be classified in most appropriate boundary?
Which of the following can be used to estimate the parameter of the model?
For larger datasets, which of the following can turn out to be faster?
Which of the following optimization algorithm is deterministic in nature?
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