Design a system to predict how many days it will take before a hotel is fully booked for the users selected date range.
Machine Learning Research Interview Questions
1,816 machine learning research interview questions shared by candidates
Applicable: Leetcode question, system design and cultural fit questions
There were different machine learning classification techniques based on Booking domain.
A medium leetcode question for the live coding interview. An ML system design problem as expected. And the behavioral one was according to the profile.
Implement Deque. 50% credit if using in built library
Cloud platforms and services for machine learning, such as AWS, Google Cloud, or Azure and experience using these platforms
Find first non-repeated item from a data stream
1. Computer Science questions - sorting, searching, data structure, binary tree. Actual code writing and walkthrough. How to optimize. Big O notations. Efficiency is always a key component here. 2. Machine learning and deep learning questions. Everything from supervised to unsupervised learning. What are the linear classifiers? Explain how CNN works, random forest, recurrent neural network. Clustering. Nearest neighbors. I think we gone through all the topics in machine learning. 3. System design. How to search efficiently. Explain previous experience or projects implemented etc.
Talk about the reasons why you chose Visium in particular. Why Visium and not any other consulting company?
Draw out BERT's architecture and explain it
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