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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."

8,210 machine learning interview questions shared by candidates

Most of the questions were from my resume. Explain the criterion of choosing particular machine learning algorithm for the problems which I was trying to solve . Questions on deep learning algorithms and natural language processing. Questions were all about the different deep learning algorithm, like Autoencoder, seq2seq model, LSTM, CNN. The interviewer was interesting to know how I implemented the algorithms, what type of data set (numerical or text-based) data that I used, and the evaluation metric I used for my project.
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Machine Learning Engineer

Interviewed at Qualcomm

3.8★
Jul 2, 2017

Most of the questions were from my resume. Explain the criterion of choosing particular machine learning algorithm for the problems which I was trying to solve . Questions on deep learning algorithms and natural language processing. Questions were all about the different deep learning algorithm, like Autoencoder, seq2seq model, LSTM, CNN. The interviewer was interesting to know how I implemented the algorithms, what type of data set (numerical or text-based) data that I used, and the evaluation metric I used for my project.

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