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35.   Explain the scale-invariant feature transformation algorithm in detail.

Advanced Computer Vision

Medium

Amazon

36.   Explain Edge detection in detail. What are the most commonly used edge detection methods?

Computer Vision

Medium

Amazon

37.   Explain Central Limit Theorem in detail.

Machine Learning Basics, Probability

Easy

DeepMind

38.   What is a P-value, and how to interpret them?

Machine Learning Basics, Probability

Easy

Microsoft

39.   What are Type I and Type II errors? How to avoid them?

Machine Learning Basics

Easy

Microsoft

40.   What is object tracking? What are some standard techniques to do object tracking?

Computer Vision

Medium

Amazon

41.   What is Image Segmentation? What's the difference between instance segmentation and semantic segmentation?

Advanced Computer Vision

Easy

Uber

42.   Describe how gradient boosting works.

Advanced Machine Learning

Medium

Microsoft

43.   Write a function to make a biased coin from a fair coin?

Probability

Easy

Amazon

44.   Given a generator of unbiased Bernoulli numbers (0 or 1 with p=0.5), create a biased Bernoulli trial generator (generate 0 or 1 with the specified 0 < p < 1)

Probability

Easy

Amazon
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