Bei einem Vorstellungsgespräch für Wissenschaftler wird von Ihnen Fachwissen und die nötige Erfahrung für die jeweilige Stelle erwartet. Häufig angesprochene Themen sind beispielsweise grundlegende statistische Methoden, Konzepte des maschinellen Lernens und Analyse von Fallstudien. Die befragende Person wird höchstwahrscheinlich auch Ihre Kommunikations- und zwischenmenschlichen Fähigkeiten beurteilen, die für eine effektive Arbeit im Team und das Einwerben von Drittmitteln unabdingbar sind.
Product questions heavily focused on FB products. How would you measure success of a new product? SQL assignment was to write a query which computes conversion rates for 2 products given the log of users actions with type of action for each product type.
Suppose the Recommended Friends team has updated the algorithm to analyze if the new algorithm is better than the old algorithm.
there is algorithm that rates the posts according to the possibility to be spam. how would you check if the algorithm works?
2 hackerrank questions and 1 data exercise.
A case study related to company's product. Some statistics knowledge embedded.
Describe your last project
Describe for me in detail the difference between L1 and L2 regularization, specifically as regards the difference in their impact on the model training process itself
if the police says on everage each day a home have a robery in the city, then how many robery per year to have a 90 percent confidence interval
Presentation
Why did you apply for this job with us?
Viewing 441 - 450 interview questions