The interview questions were some behavioral ones, then some fundamental questions about machine learning concepts and definition of different algorithms, how to select one method over another one considering the data. The next phase was coding interview with two questions, some tricky questions also asked.
Text methods (latent, etc), he asked if I knew anything about these.
Describe an example where you had multiple alternatives to choose from for tools/approaches for a project. How did you go forward?
gradient descent
Given a dataset, develop a machine learning model for classification using Jupyter notebook
Algorithms and their implementation on a business application.
Hyperparameters for Logistic regression Why Random forests reduce overfitting
What experience do you have in developing machine learning methods
Apart from questions about the past work the main focus in the interviews was about how to solve different bussiness problems with machine learning. I recommend to spend enough time on searching the information about the problems which Booking.com solves using machine learning during a preparation to an interview.
1. Introduce yourself 2. Why Arm? 3. Python question, look at a piece of code, tell us what is wrong about it 4. Python question, where you actually have to code something 5. Tensorflow question, look at a piece of code, tell us what is wrong about it 6. Do you have anything you would like to add, final thoughts, questions
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