array problem, pattern searching
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."
8,203 machine learning interview questions shared by candidates
What is the definition and application of stack, heap, etc.
Q: What do you know about Graphcore?
What strategy do you usually follow for hyperparameter tuning?
Tell us of an experience using Python.
Walk through previous projects, problem solving, and discussing technical decisions.
Describe a recent research paper you found interesting.
1. Tell me about yourself 2. Explain project done in machine learning domain if any 3. One easy level coding question that was based on string matching and manipulation
Outliers detection and your projects but at all nothing matters.
2 algorithmic interviews and 2 ML interviews. For algorithmic, both were easy to medium leetcode-style questions. For ML, one was about basics of ML, statistics, data analysis and the other was little more specific topic like NLP.
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