"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."
First round: ML coding (AUC function) Onsite: OOP schema question (chess) Algo-DS coding question Behavioral round with senior engg. lead ML system discussion with Director of Engg. ML (optimize labeling workflow, question on how sample size affects sensitivity, specificity)
Tell me about a person with whom it was difficult to work with.
- sklearn LinearRegression - LinearRegression on a polynomial function - write a softmax function from scratch
Ask typical Leetcode q. Zigzag tree traversal
Behavior questions, technical questions, general background questions
Basic machine learning questions and questions related to Ericsson principles.
NDA but, mostly about Machine learning fundamentals...
Is it possible to get correlation between continuous and categorical variables?
what is EDA?
Explore data and fit an ML model
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