What's the different between Facebook, Instagram and Mixerbox?
Data Science Consulting Interview Questions
40,253 data science consulting interview questions shared by candidates
There are 30% songs from A artist and 70 % from other artists in a A's playlist. What is the probability that you continuously heard 2 songs from the A artist?
Basic stats and data science familiarity questions. Some stats paradoxes were asked about.
Quelles sont les hypothèses de Gauss Markov dans le cadre de la régression linéaire ?
Questions assez classiques d’entretien : parcours, motivations, petites questions en anglais pour vérifier le niveau
The first technical screening will test your ability of debug and problem and write SQL query. The second technical screening go over your ability to analyze a data problem and explain end-to-end on solving it, from selecting the required data to coding the solution. It is done on a virtual whiteboard and facilitated as a conversation with the interviewer. Another similar interview will be done during the final round, with more emphasis on problem solving. There will also be a statistic interview, technical data analysis interview and cultural fit interview.
Présente nous l'algorithme XG Boost
Q1) Transformers/BERT/Attention Mechanism vs self-attention mechanism Q2) How does Faster RCNN work? Q3) How do an RNN works? Q4) Bias-variance Tradeoff Q5) How do you perform feature engineering? Q6) Define Recall, Precision, and F1 score with formulas Q7) Where do Data scientists spend most of their time while solving a problem? Q8) Quicksort Algorithm. Q9) How do you work under pressure? Q10) Egg dropping logical problem.
¿ How old are you?
Explain about EDA analysis and what is its role businesses
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