1)EDA 2)System design 3) Behavioral round
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."
8,195 machine learning interview questions shared by candidates
Basic ML stuff, nothing special. The process also involves working out an assignment. I'd recommend really to consider whether you want to invest time in it because in the end you risk being left even without a simple response wrapping up the whole interaction.
The technical hands-on interview was an exercise about data preprocessing and ML inference in Python on a pair programming platform.
Why do you think you are a good match for this position?
What metrics would you use for a ranking algorithm
Talk about the Bias-variance trade-off
How would you build a recommender system for the Expedia webpage
1. Considerations while building ML pipelines. 2. How comfortable you are with writing YAML, shell scripting 3. ML basics 4. 1 Leetcode Easy question
A string was given in the form "010101,11101". You were tasked with adding the two binary numbers before and after the comma in-between.
Stuff about Spark, Kinesis, SQL, Tensorflow, PyTorch
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