"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."
Questions were broadly one of three types: 1) Technical design and model questions about the take home assessment 2) General technical questions about ML and software engineering 3) Behavioral questions. One example of a behavioral question was "Why are you interested in finding a new role currently?"
Basic ML questions and data structures
- Retail Chain sales data analysis
Can you describe an ML project you have worked on?
Simple Python coding using lists, sets and write a very simple function. Cultural questions are standard
Q: What will happen if you train model using eval data?
questions about the online test i did.
Top grading, look it up online. They don't call your supervisor, but you have to be prepared to reflect on your best and worst times in an honest way. They do this to spot if you lie on your CV. Very easy to pass if you tell the truth.
Some questions are based on the projects listed on my resume.
Why GoDataDriven? What have you contributed to open-source?
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