Write logistic regression from scratch in python (both OA and tech interview)
Machine Learning Engineer Interviews
Machine Learning Engineer Interview Questions
Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.
Top Machine Learning Engineer Interview Questions & How to Answer
Question 1
Question #1: What are the most important algorithms, programming terms, and theories to understand as a machine learning engineer?
How to answer
How to answer: Be prepared to talk about things like Type I and Type II errors, supervised and unsupervised machine learning, ROC curves, and other key parts of machine learning. Employers want to know you have a strong knowledge of the technical aspects of the job position.
Question 2
Question #2: How would you explain machine learning to someone who doesn't understand it?
How to answer
How to answer: Sometimes machine learning engineers have to work with people who aren't familiar with the technical aspects of the job. Use this interview question as an opportunity to show your strong knowledge of the position and your communication abilities.
Question 3
Question #3: How do you stay up to date with the latest news and trends in machine learning?
How to answer
How to answer: By talking about how you're up to date with the latest news and trends in machine learning, you can show an employer that you're engaged in the industry, a skilled researcher, and self-motivated.
8,202 machine learning engineer interview questions shared by candidates
Technical questions were not difficult as they were just logarithm property questions and a simple ASCII to string conversion.
I was asked about education, skills, and experience.
Describe what you know about Support Vector Machine and its primal and dual form.
1. given a objective function, calculate the range of its learning rate 2. check valid BST
What are the causes for gradient descent to converge slow/not converge in different machine learning algorithms?
In a 2D matrix, given a target position and a few positions marked as walls, navigate an agent from an initial position to get to the target while avoiding the walls. The map is 4-connected.
Validate BST
Python lists, tuples, map, filter, reduce, convolution net architechtures
Generator, decorator
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