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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."
8,202 machine learning interview questions shared by candidates
Do you have experience with Pytorch?
Describe the data collection, modeling, metrics, and evaluation process you would use for X.
Discussing research experience and usage of ML in the problems the company works on. Deeper discussion into ML for therapeutic design/engineering, and about dealing with complex data from biological assays.
Explain the Focal Loss is
¿Qué modelos de Machine Learning has aplicado con un enfoque de visión computarizada?
First Round: 1-1.30 hr long with all DL/ML-based questions. (I answered all of them) Second Round: Linear Algebra. (I performed good here also) Third Round: Live coding (Asked to code linear regression from scratch) (also completed) Fourth Round: Data Structures, Logical reasoning, and Scenario-based ML questions. (apart from a logical based question I answered all ) Fifth round: Computer vision round. All related to image-based questions and object detection algorithm. This round went very well as I was able to answer most of the questions.
Machine Learning Algorithms, Outlier Detection, Missing value imputation, etc.
Given a limited storage how would you store the CCTV Camera footage more efficiently.
They asked me ML question, we brainstorm for a design question and a 2 hours of coding.
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