This page lists down a set of **objective questions** which represents **interview questions** that have been asked in various **amazon machine learning interviews**. 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:

- Gradient descent vs stochastic gradient descent (SGD)
- Logistic regression vs neural networks
- Support Vector Machine (SVM) vs logistic regression

Table of Contents

#### Which of the following cost function iterates over all training samples for optimization?

#### For larger datasets, which of the following is preferred optimization algorithm?

#### Logistic regression and neural networks, can both be used for solving regression problems?

#### Logistic regression and neural networks, can both be used for predicting discreet valued output?

#### Which one the following is popularly termed as maximum margin classifier?

#### Logistic regression can be thought of as _________ ?

#### Logistic regression and neural networks, can both be used for solving classification problems?

#### Logistic regression and neural networks, can both be used for predicting continued valued output?

#### Which of the following is probabilistic?

#### Which one of the following is deterministic in comparison to other?

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