"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."
R1: 1. Coding question involving arrays (LeetCode medium-level difficulty) 2. PySpark scenario-based question focused on data manipulation 3. Asked to write an SQL query to assess understanding of joins R2: 1. HLD question on designing a targeting system
How to highlight hotel deals? (on-the-spot) Building payment fraud detection model (take-home)
test de calcul mental de 20 mins
Why apply for this job? Motivation for this job ? How do you know this company?Python related basic question
what is the difference between overfitting and underfitting
Work through the resume and dive very deep into the skills listed in the resume. Question for the project and the position. A question about a specific question about one challenge in their current pipeline, how to tackle them
The interviewer asked me about my project in GANs and a brief about GAN architecture and its theory and then proceeded to ask about the working of Random Forest? How the classification at each node is made?
N/A - signed an NDA
Why do we choose kernel size of 3 for convolution ?
Which is a project you are proud of
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