1. Dropout 2. Basic Questions in ML and DL
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."
8,221 machine learning interview questions shared by candidates
Q: Walk through the resume and share your experience.
Asked about DSA, ML pipelines, specific details of project work on resume
A hard variant of binary search.
NDA: Technical challenge - time limited
ML Theory: Tested theoretical knowledge and core basics of Machine Learning. Topics on logistic regression, different types of loss functions, bias, variance, neural networks, regularisation and its usage.
ML Practical: Design a system for fraud detection (when the customer is fraudulent).
Tell me more about your relevant project
All questions were about my projects.
Explain the ROC and benefits of using the area under the curve metric
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