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NLP 2021 @ BGU.CS
Lecture #03 / Quiz #01
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List 3 forms of Machine Learning methods (depending on availability of training data)
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Consider a linear model - f(x) = Wx + b where x ∈ ℜdin W ∈ ℜdout x din and b ∈ ℜdout - how many parameters are there in this model?
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Consider the case where we want to learn a function which maps a vector of dimension d to a probability (a number between 0 and 1). Can a linear model provide a solution?
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