Q1: If you were to lead a machine learning project, how would you define the work packages, supervise coworkers, and ensure that the promises are kept to the employer? Q2: Given that you have minimal annotated data, how could would you choose the most optimal approach to solve the task? Q3: Given that you have a working algorithm, how would you integrate the solution in such a way that it is user friendly for the end user and most optimized given the funding available?
motivation and application detail self introduction
The asked me to walk through the Scrum Framework
Had me walk through scrum framework. In person, asked me about experiences working with difficult people, how to handle shifts in work, how to work with constant drive-by's, change in product direction, QA bottlenecks.
Sprint Planning, Previous Job related Behavioral questions
Como você faz para cobrar as pessoas e garantir que elas entreguem suas tarefas no prazo?
Conte sobre sua experiência profissional e acadêmica
About my experience with Deep Reinforcement Learning and was asked in depth about the methodology I used in one of my side project linked with DRL
Tell me about yourself. How much do you know about the master program? How about programming? How confident are you with statistical analysis?
how would you motivate a team
Viewing 2431 - 2440 interview questions