Category Archives: Interview questions

This page represents a list of questions which can be used for preparation of machine learning interviews. The following are some of the areas covered in this set of questions: Null Hypothesis; Another page which explains the concept in decent manner is Null Hypothesis definition and examples, how to state. P-value; In simple words, p-value represents likelihood (in terms of probability) of sample results occurring if the null hypothesis is assumed to be true. For example, a p-value of 0.03 would mean that given the null hypothesis is true, the probability that results occur in the sample is 0.03 which is very less. Thus, the alternate hypothesis can be true. Thus, …

Continue reading →

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: Generative and discriminative algorithms Gradient descent vs stochastic gradient descent (SGD) Cost functions

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