What is the difference between One hot encoding and Label Encoding
Machine Learning Interview Questions
8,195 machine learning interview questions shared by candidates
- Give me your opinions on a bunch of AI-related things... - Invasive questions about past work history - Is this comp fine with you (giving wrong comp range)? - Do you have any questions
ML algorithm using numpy/pytorch. System design around video search system.
In technical interview: They wanted to know mostly about the solution I presented for the take home assessment. In product and engineering interview: They asked questions about my past experience, specifically the products I build
Tell me about yourself Why C1
1st round: 4 leet-code style questions on CodeSignal. 2 easy, 2 medium/hard. 2nd round: 4 interviews in total a. ML job fit interview: was asked about some ML basics such as bias/variance tradeoff, how to deploy models, reduce latency during inference b. ML job fit interview: One coding question (find number of primes until N), and some questions about ML model deployment. c. Case Study: simple quantitative analysis of cost-benefit analysis about simple vs rigorous testing of software release cycles. d. Behavioral: 3 questions about past experience - describe a challenging situation you encountered - describe a time when you had to prioritize one task over another - describe when you changed status quo
Implement HashMap in Java
Describe a project you did in HTML, CSS, and Javascript
1 sql, 1 pandas, 1 git, and the rest are mcq questions. These includes Stats, Data Structures, Pandas Lambda, and Data Science questions.
Questions related to large-scale model training and some questions regarding my work
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