make code review of algorithm code
Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,213 machine learning interview questions shared by candidates
What does MLOps mean to you?
Describe generalization in the context of training ML models
Modelli probabilistici in ML (e.g. processi Gaussiani)
1. Deploy an ML Model as a REST-API Of your choosing, please deploy a computer vision machine learning model as a rest- api. The API should be written in Python. The API should be able to accept an image/video and return the output as JSON. An example: You could deploy a face recognition model that takes an image and returns the co-ordinates of the bounding box(es) localizing the face(s). Requirements An API endpoint that accepts an image and returns a result as JSON. Package the API in a Docker image for deployment. Optional Unit tests A log of all POST requests with timestamps. Ideally, persisted in a database. The assignment should contain all the code required to run it locally. For example, be sure to include Dockerfiles. The code should also be accompanied by documentation. Also provide a brief summary of your approach and discuss potential improvements.
What is variance and bias?
What is machine learning and it’s applications
Bayesian question: You ask 3 friends about rain in seattle, ...
When Shopify started the business? How many employees at Shopify?
What is the quickest way to do a task and what would be the time complexity?
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