Imagine that during training, your model (a neural network) reaches a local minimum. Would you prefer the minimum to be in a "sharp, narrow" or in a "flat, wide" "valley" and why"?
Learning Engineer Interview Questions
6,591 learning engineer interview questions shared by candidates
Probability question on some complex roll-a-dice or coin (i.e. combinatorics) - like compute a probability of an event.
Code review on 50 lines of python code
Pagination with Pivoting: You will be given a list of items, and the aim is to implement pagination around a pivot element. It should be circular.
Second Interview Question: Given a 2D binary matrix, write a solution to make the image symmetric along the X and Y axes. The only operations allowed are full row and full column insertions without modifying the values in the original matrix. The goal is to find the minimum number of row and column insertions.
Questions will be based on the take-home technical assessment.
The programming test was written: three exercises.
Resume, Spring, ML, Data Science, Python and Behavioural
A couple interview Qs I can remember are: What is the bias-variance tradeoff? What's a GBM and an example of one? What is under fitting and over fitting?
Sparse metric Multiplication, cosine Similarity
Viewing 631 - 640 interview questions
See Interview Questions for Similar Jobs
Learning Management Systems AdministratorLearning Technology SpecialistTechnical TrainingLearning SpecialistLearning ConsultantE Learning SpecialistLearning DeveloperLearning DesignerTrainingLearning DesignLearning Management SystemTraining DeveloperLearning Management SystemsLearning TechnologyLearning StrategistE Learning DeveloperLearning CoordinatorLearning & Development