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.
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."
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Applicable: Leetcode question, system design and cultural fit questions
Design a system to predict how many days it will take before a hotel is fully booked for the users selected date range.
There were different machine learning classification techniques based on Booking domain.
How to handle data with imbalanced labels in classification?
Simple questions, they are good with evaluating your overall skills.
1. how is DBSCAN a better clustering algo than kmeans? what is limitation of kmeans?
There were 2 business cases related to their basic problems like hotel recommendation. You need to start describing the solution, taking into account the lack of users at the beginning, and how the solution will be improved in the future.
what do you think of yourself in 10 years?
- Behavioral Questions which can be answered using STAR - Group Activity: Group stranded in sea and take only 7 things. Decide which ones with the group - Interview: Presentation about you, why Sage?, why you are a good person for this. This i followed by an interview regarding your CV, projects and experience.
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