what is the difference between catboosting and lightgbm.
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."
8,202 machine learning interview questions shared by candidates
Q1. Given a string of characters, find duplicate adjacent characters and remove them. The result should be the string without any duplicate adjacent characters. Ex: given string - “aabc” Output - “bc”
research experience question
How would you scale up a project you worked on?
Split a pandas data frame into training and validation splits.
1st question was like Describe EDA(Exploratory Data Analysis) 2nd question was use case
difference between boosting and bagging
C++ classes
How would I detect whether a point is within a convex hull? Code up a relevant function.
Coding questions were similar to leetcode and other competitive programming
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