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Data Scientist Machine Learning Interview Questions
467 data scientist machine learning interview questions shared by candidates
Sections where you should add your own code and/or analysis are highlighted. Communicating your analysis with clear discussion and plots is very much appreciated. Feel free to add additional cells for any of your analysis and discussion. For this challenge you will be using raw 3-axis accelerometer (ACM) signals measured from a wearable device to build an automatic activity detection algorithm. We will be using the following two data files, which represent a single session from a single individual instructed to perform various activities in a laboratory setting. - **user1_accelerometer_data.parquet** - This pyarrow parquet file has raw accelerometer signals in x/y/z directions (in mill-g), with `time` (in seconds since epoch) continuously sampled at 50Hz. - **user1_activity_labels.csv** - This CSV file has the `time_start`, `time_end`, and `id` of each activity performed during the session.
What is representation learning and why is it important?
What is the main obstacles you can see for this work. What skills you are lacking for this role
Talk about your experience with LLMs and RAG.
Solve a specific classic machine learning problem with quantum neural network and compare the results.
What company value do you identify with the most?
- Talk about Graph attention networks - Difference between GAT and GraphSage - other questions that were specific on my assessment submission
Question regarding project done in past, Fundamental of Machine Learning and statistics.
What are the things you enjoy doing/would like to work on
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