Machine Learning Technologies
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How would you define Machine Learning? - CORRECT ANSWER-Machine
Learning is about building systems that can learn from data. Learning means
getting better at
some task, given some performance measure.
Can you name four types of problems where machine learning shines? -
CORRECT ANSWER-Machine Learning is great for complex problems for which
we have no algorithmic solution, to
replace long lists of hand-tuned rules, to build systems that adapt to fluctuating
environments, and
finally to help humans learn (e.g., data mining).
What is a labeled training set? - CORRECT ANSWER-A labeled training set is a
training set that contains the desired solution (a.k.a. a label) for each
instance.
What are the two most common supervised tasks? - CORRECT ANSWER-The two
most common supervised tasks are regression and classification.
Can you name four common unsupervised tasks? - CORRECT ANSWER-Common
unsupervised tasks include clustering, visualization, dimensionality reduction,
and
association rule learning.
What type of Machine Learning algorithm would you use to allow a robot to walk
in various
unknown terrains? - CORRECT ANSWER-Reinforcement Learning is likely to
perform best if we want a robot to learn to walk in various
unknown terrains since this is typically the type of problem that Reinforcement
Learning tackles. It
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