Describe normalization and bayes rule
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."
8,202 machine learning interview questions shared by candidates
Amazon asks on leadership principles. This was unexpected.
Google for examples of their silly questions.
Q. Solve the given coding problems.
What kind of role is this
What's the difference between discriminative and generative machine learning?
optimization techniques (SMO, sgd, newton), momentum, saddle point good for sgd? , svm c change, conv or fcn layer has more memory ?
Q: Implement a function to check if a binary tree is balanced. Q: How would you evaluate the performance of a recommendation system, like the ones used on Amazon?
Behavioral questions during the online assessment.
LeetCode questions are at the easy/medium level. System design is a regular task about designing ML algorithms
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