Design a recommender system. Machine learning questions: decision trees, AUC, etc.
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Design Linkedin job recommendation system
Open tasks related to quantum machine learning.
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Phone Screen: 1) Difference between x86 and ARM64 processors? 2) What is a convolutional neural network? 3) What is a pointer? 4) What is the difference between Reinforcement learning with policy and Reinforcement learning without policy? 5) Basic behavioural questions 4-hour interview: 1) What is the four pillars of OOP? 2) Describe each of the four pillars of OOP? 3) What is a pointer 4) What is Reinforcement Learning 5) Leetcode: If you have a set of data coming in, how would you manage to organize it where the least used tasks and the most used tasks are easy to access like O(1) time. (Hint use Priority Queue as the left and right accessing is O(1)) 6) What are SVM? 7) What is the difference between garabage collection between Python and C++? 8) What are the two ways to initialize objects into the heap in C++ in memory? (new and malloc) 9) What is duck typing? 10) How does a struct work in C++? 11) What is virtual? 12) What is overloading and overwriting? 13) What are the four different types of pointers that exist in C++ and explain how each of them are different from each other? 14) What are Bias and Variance and how do you deal with each of them?
Aggregate multi-level dataset to obtain confidence intervals from multiple data samples
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