How would you create a classifier to classify a point P in a LiDAR dataset as either belonging to a "blob"-type object (trees, etc), a "plane"-type object (side of building, road, etc), or a "line"-type object (street sign, etc) using only x, y, z information of the point in question and the x, y, z coordinates of other points in a given neighborhood R.
Informal questions asked about previous experience and overcoming challenges.
Experience with Scrum methodologies practices.
They asked me about my technical knowledge, managed services (ITIL) and Scrum knowledge.
Have you managed people?
How to fix cost function in GANs when records appear with different targets
Exploding gradient and vanishing gradient Which model you will use for time series data? (without telling about the dataset characteristic )
What are the clustering methods
How can you generalize your algorithm to higher dimensions
basics of subject related questions
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