Why you choose XXX method in your master thesis but not YYY?
Machine Learning Engineer Interview Questions
6,173 machine learning engineer interview questions shared by candidates
Why have you applied to causaLens.
6 coding problems - 3 or 4 of them are 10 minutes each
- Implement grid search static typing - Find n rarest item in a given list
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
Design Linkedin job recommendation system
technical phone interviewer who was senior data scientist, who asked me write a program for which he has given certain contraints, It took me sometime to complete the given task. Then he moved on to asking me questions machine learning algorithms like randomForest and the algorithms i used in my project.
Why do you apply for LinkedIn?
Coding to find medium in a list of number.
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