How could you minimized the inter-correlation between variables with Linear Regression?
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."
8,203 machine learning interview questions shared by candidates
Clustering Algorithms, EM, Bayesian statistics, Coding
Why should we hire you?
How to deal with heavy traffic (if the model is deployed on AWS)?
Q: Given a dataset, setup a feature engineering pipeline.
How would you create a text file uploading backend and relay progress of a "ml process" back to the UI.
Basic questions from : Bias and Vairance trade-off, CNN, SVM with a little twist. Decision Tree, Random Forrest. Pros and Cons of these techniques. Detailed discussion on any Deep learning Architecture. ex: Transformers, wav2letter++ etc.
Please describe an advanced machine learning method, more advanced than CNN or RNN.
Why I am interested in their company?
90 min technical round - Run through the resume - Whiteboard system design with a verbal explanation (supply chain-related ML solution) Take-home assessment - System design for recommender engine Hiring manager call - Trees, regression ML question
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