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?
Machine Learning Engineer Interviews
Machine Learning Engineer Interview Questions
Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.
Top Machine Learning Engineer Interview Questions & How to Answer
Question #1: What are the most important algorithms, programming terms, and theories to understand as a machine learning engineer?
Question #2: How would you explain machine learning to someone who doesn't understand it?
Question #3: How do you stay up to date with the latest news and trends in machine learning?
8,202 machine learning engineer interview questions shared by candidates
Aggregate multi-level dataset to obtain confidence intervals from multiple data samples
Implement Naive Bayes theorem in Java.
Design Linkedin job recommendation system
First one final round interview was more conceptual and behavioral (stuff on resume) and second was a med? level Leetcode question followed by behavioral
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.
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.
Q. Generic to advance concepts of ML.
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