Implement Naive Bayes theorem in Java.
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."
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like talk about some adaptive learning rate methods
Why do you apply for LinkedIn?
Sum of subarrays
Given a sorted list of numbers and a function f: x -> ax^2 + bx + c, apply f to all elements and return a sorted list of the f(xi)'s Explain some ML concepts: - Overfitting / Underfitting - Regularization - Bagging / Boosting - Performance metrics
past projects, leetcode hard, statistics, ML.
First one final round interview was more conceptual and behavioral (stuff on resume) and second was a med? level Leetcode question followed by behavioral
Given a random generator that uniformly gives a value from 0 to 1. Create a function that can generate any integer value from range i to j uniformly.
Design a recommender system. Machine learning questions: decision trees, AUC, etc.
Design Linkedin job recommendation system
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