Details on Lemmatization and Stemming
Machine Learning Interview Questions
8,194 machine learning interview questions shared by candidates
1. Explain the bias-variance tradeoff 2. What is k-fold cross validation and why is it important? 3. How would you deal with class imbalance?
What is a decision tree
A basic matrix questions
A design questions using ML
Der Loss konvergiert nicht, wie würden Sie dieses Problem beheben?
Neural network types, differentiation, basic statistics, MLE, discriminative vs generative models, graphical models
1. HR interview 2. 1st round interview: 30 mins, basic ML question 3. 2st round onsite: 5-6 hrs take home project, 2hr presentation. The hardest part would be onsite, many challenging questions. You have to find the best solution for the company. take home project is time-comsuming
I only processed 2 easy algorithm questions so far.
What are some regression metrics you are familiar with?
Viewing 7931 - 7940 interview questions
See Interview Questions for Similar Jobs
Machine Learning Software EngineerIntern Data ScientistMachine Learning Research ScientistData Science Summer InternSoftware Engineer Natural Language ProcessingRobotics Software EngineerMachine Learning ScientistMachine Learning EngineerMachine Learning Research EngineerData Science Software EngineerResearch Scientist Computer VisionJunior Data ScientistSoftware Engineer Machine LearningSenior Data ScientistData Scientist InternMachine Learning ResearchData ScienceBioinformatics Software Engineer