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
For larger datasets, which of the following is preferred optimization algorithm?
Correct!
Wrong!
Logistic regression and neural networks, can both be used for solving regression problems?
Correct!
Wrong!
Logistic regression and neural networks, can both be used for predicting discreet valued output?
Correct!
Wrong!
Which one the following is popularly termed as maximum margin classifier?
Correct!
Wrong!
Logistic regression can be thought of as _________ ?
Correct!
Wrong!
Logistic regression and neural networks, can both be used for solving classification problems?
Correct!
Wrong!
Logistic regression and neural networks, can both be used for predicting continued valued output?
Correct!
Wrong!
Which of the following is probabilistic?
Correct!
Wrong!
Which one of the following is deterministic in comparison to other?
Correct!
Wrong!
Amazon Machine Learning Interview Questions Set 1
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I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin.
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Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking
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