Case study and questions mainly on Feature Engineering and Model Deployment
Machine Learning Interviews
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."
8,225 machine learning interview questions shared by candidates
coding question, and multiple ML questions
Tell me about one of your past projects and how you used ML? What was one of the biggest challenges in this project?
Classification models, imbalanced datasets, some basic pandas question and a small preprocessing.
What is overfitting and how to rectify it?
What difference does using no-activations over using non linear activations make on the GPU usage?
Q. Visa Status Q. Basics to advanced level of ML, case studies.
General questions related to the CV
Why you choose zscaler ?
The interview are mainly behaviour questions, like most impressing projects, describe a time when the team goal got changed and how you handled it, etc.
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