Given depth images find the clearance distance between human and corridor?
Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,199 machine learning interview questions shared by candidates
- Talk through experience with a ML project they were interested - Case Study with Ranking on Viator's webpage - Coding: Bootstraping & implementation of simple recommendation system (product-to-product) - Behavioural/Values Interview
Technical Questions around past projects. Case Study with Viator tours PLP page. Implementation of simple product-to-product recommendation in Python. Behavioural/Leadership Style Questions
SVM matplotlib depth knowledge of machine learning
Present one of your data science projects (On-site)
Graph based question non LC.
Interview kickstart page for Zoox Software Engineer has a good compilation of the questions I was asked.
Analysis of loss curves to assess underfitting/overfitting.
Some about ML, some about Computer Vision
Calculate the receptive field of a CNN
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