Pick one ML algorithm and explain it in laymans terms
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."
8,195 machine learning interview questions shared by candidates
Have ever done low-level coding like memory allocation? Have you ever written ML algorithms (not using Tensorflow) yourself?
Experience on data mining and optimization
Sliding Window Maximum (Leetcode 239)
How to train deep neural networks if we only have a small number of data? Discuss about recent techniques.
Hard coding problem where height of dam was given and height of river bed was given (increasing order), and we have to decide where to put the dam so that the capacity of water stored is maximized.
the meaning of cross entropy loss
3 ROUND INTERVIEW, FINAL ROUND INCLUDES SYSTEM DESIGN
code cross entropy loss function.
In the first-round interview, questions focused on optimizer usage in ML (SGD vs. Adam, learning rate scheduling), a LeetCode problem on implementing MinStack with O(1) retrieval of the minimum element, and resume-based discussions on past projects, technical challenges, and problem-solving approaches in distributed systems and NLP.
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