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.
Bayes' Formular: Marbles: There are 30 red marbles and 10 black marbles in Urn #1. You have 20 red and 20 Black marbles in Urn 2. Randomly you pull a marble from the random urn and find that it is red. What is the probability that it was pulled from Urn #1
The technical assignment was good- to label given a set of data points and a few conditions.
How does a CNN work?
How do you model, a very low probability event
You can play a game of chance where you pay $3 and roll a six-sided dice. You get money equal to the number that's rolled. Should you play the game?
how much do you know about Machine learning? any project with Spark?
There are two players, A and B playing a game with a single fair coin. If the coin flips two heads in a row, then player A wins. If the coin flips a tails and then a heads right after each other, player B wins. The coin is flipped sequentially until either player A or player B wins, and the game is reset. Which player, if any, would you bet on and why?
We are considering adding in a feature where instead of a direct estimate of 5 min, instead displaying a range of say 3-7 min. How would you conduct this experiment? How would you know your results were significant?
In three interviews I did not get a single technical question.
What is the difference between Supervised Learning and Unsupervised Learning. Give one example of each.
Viewing 181 - 190 interview questions