System design: Design an app that helps blind people navigate an indoor space.
Machine Learning Internship Interview Questions
8,194 machine learning internship interview questions shared by candidates
Asked me questions on detailed Sharding during system design interview,
Contains 5 rounds of interviews: 1,2 -> Data Structure and Algorithms and I prepared from Leetcode, GFG and online resources on web/Ytube | Make sure to prepare Graph, Trees and DP -> Level of questions wasn't too hard but you should give multiple approaches and code one most optimal 3 -> ML/DL specific knowledge with focus on area of your choice like recommendation engine, NLP or Vision 4 -> ML System Design | Educative IO provide good course: Grokking the Machine Learning Interview | Talk about pipeline (Data Collection, preprocessing, model arch, loss function, optimization, Serving, Monitoring) | Write code in DL framework of your choice for suggested ML system Design 5 -> Behavioural interview | Googlyness | Why google, why this role, why a company change and similar ones.
More on machine learning algorithms. Easy coding question
Machine learning architectures, coding interview
What are the assumptions on independent variables for a linear model? Is the p-value valid if the independent variables are not normally distributed?
Find the shortest path from top left to bottom right of a grid.
Past projects, what exits me about Lime?
Com o conhecimento que você possui hoje, acha que sabe tudo o que é possível fazer com disponibilidade de dados?
They're looking for almost full stack engineer with focus on machine learning, and they emphasize on communication and presentation skills.
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