Give us an example where you have used version control as part of a team.
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."
8,212 machine learning interview questions shared by candidates
STAR method questions
Director Round - Where roles and responsibilities were discussed. - They are expecting candidates should work more on the Python Backend work and a bit of Machine Learning work if any project turn up from client side. So somebody who are in to core Machine Learning, better stay away from Soroco as the job role is not so interesting as the JD says. I guess JD was copied from some other company's JD :P After this round, it was clear to me that they don't have much Machine Learning related work.
1. Questions about FasterRCNN and other object detection algorithms. 2. How to design a recommendation system for recommending similar T-shirts based on the viewed product as in e commerce websites. 3. In depth questions about CNNs
Use machine learning, data wrangling and data visualization to predict hotel availability.
1. What is your favorite algorithm and why ? 2. What kind of accuracy metrics would you prefer ?
Typical Machine Learning questions with a focus on recommendations and setting systems up for it
project end to end discussion. follow ups
Designing a recommendation system to show the users offers
why expedia? why do you want to change?
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