Different machine learning algorithms, Decision Trees, Adaboost, and Bagging. Questions about model performance, Tell me about a time when you received negative feedback and how you dealt with it. Tell me about a time when you went above and beyond customer satisfaction. Tell me about a time when you had to make a decision with little information. Tell me about a time when you disagreed with a colleague or manager.
Behavior-based questions that ask about your experience and work style.
Explain the process of LSTM. Assumptions of regression.
Can you join immediately and also will you relocate
Questions about time series forecasting
Basic ML concept like l1 l2 norm/loss. concept like recall precision etc.
Mostly machine learning questions related to NLP
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.
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