What did you learn from one of your project
Learning Engineer Interview Questions
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Task: 300-d feat vector of sensor data come in every second -- decide whether or not there is a problem. The task was Anomaly Detection. They did not give me any other information but you were allowed and even encouraged to do so. The next Question concerned the type of problems. There are 5 type of problems but we need to identify if there is a new one. The last Question concerned production. What should be shared across the different servers?
Related to Data Preprocessing, Data Cleaning, Data replacement, Java OOPS
describe how LSTM and CNN networks works
They asked about your projects mentioned in the CV. In my case, they asked me to explain how the ML algorithms mentioned in my CV works.
Basic Ml type Qs and DS
Tell me about yourself?
They asked coding and in depth ML concepts.
Explain conv1D operation over an image
What is your experience in search?
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