Probability, signal processing (Fourier transform and sampling theory), deep learning, hidden Markov chain, live coding questions.
Learning Technology Interview Questions
11,697 learning technology interview questions shared by candidates
The knowledge they test is broad, ranging from programming to stats to domain knowledge and deep learning.
SVM, regression, PCA, matrix, CNN
KPI metrics, relevant coding experience, neural network architecture, image processing, object detection, segmentation
Past projects and system design.
They asked general question about deep neural networks, what is convolution, what is a conv layer, do i know specific networks and their architectures. Than a short english talking part to measure my english level.
What are the layers of a neural network? and what do they do? There are also two computational questions about CNN's.
How Bounding boxes are created in a particular image.
What are the steps involved in building a model?
Using pandas for data engineering
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