"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."
Numerous questions about my one major project and then started telling me what I should've done, which is okay I like constructive criticism. After that started asking ML and DL concepts like a rapid fire round and literally stopped the interview when I got a question wrong as if he was waiting for me to just fail.
some algorithm question, leedcode medium-hard level
Why did you apply for this job?
introduce yourself , what's my last experience and why paxera ? and also what type of project that i've work on and the certificates , risky situations i had in my life and what i have done and some technical interview like measurement techniques , SVM, NN
What do you know about html, css, web development? Do you know what random trees/forests are?
Describe a challenge you faced and how you solved it.
what's onnx
Questions about classical machine learning.
When should the activation be used in the skip layer of ResNet? Why?
Why is pooling used?
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