How would you prevent overfitting?
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."
8,197 machine learning interview questions shared by candidates
Generic Machine Learning and Deep Reinforcement Learning questions, programming test and small games to play.
Mostly based on computer vision
Round1: from uniform distribution number generator to normal distribution numbers Round2: white-board decision tree Round3: painting colors for a random shape in an image + behavior questions
Basic data science questions for the most part, something like what is p-value, what is overfitting, cross-validation etc.
A variant of Valid parentheses Leetcode medium
How would you handle tracking different colour balls in a cricket setting? (1 colour may be harder, and may have less data)
Compare advantages/disadvantages of CNNs vs Transformers
No particular difficult question.
Technical take home assignment, SQL and Pyspark coding questions, presentation, product discussions.
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