You have 1 million samples, how do you train a good ML model?
Nlp Research Intern Interview Questions
38 nlp research intern interview questions shared by candidates
Do you want to be a manager?
She asked me about my previous experience, about my project according to their requirements.
write code in python with DSA
Suppose we are trying to build a text/topic classifier of Twitter. The classifier is trained offline. When we put it online, how to deal with unseen data?
Describe how to use HMMs to build such a classifier.
How to you deal with project difficulties?
What is the difference between dependency parsing and constituency parsing?
First screening interview: Q1: About background and projects Q2: If you are given an encoded string, design the algorithm to learn decoding scheme and decoded string. Design Machine Learning or Deep Learning approach or any other method. Q3: Some questions on basic Machine and Deep Learning. Some questions related to analytical thinking. Virtual On-site interview: Q1: implement (unfold) simple tokenizer and BERT tokenizer code. Q2: Implement the Beam Search algorithm at a very high level when you already have decode for Machine Translation (say English to Spanish).
Not difficult but that was what I was asked: I was asked to write an algorithm and implement it to detect whether a search engine query is a question or not.
Viewing 1 - 10 interview questions
See Interview Questions for Similar Jobs
Research InternshipGraduate Research InternResearch InternGraduate Research InternshipMachine Learning InternshipMachine Learning InternQuantitative Research InternshipQuantitative Research InternSummer Research InternData Science Internship FallMachine Learning Researcher InternMarket Research InternMarket Research InternshipUser Experience Research InternUser Experience Research InternshipData Science Intern FallApplied ResearchData Science Internship