Coursera Machine Learning

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Week 1

regression - continuous value output

classification - discrete value output

m - number of training example

x - input vars

y - output vars

(x,y) - one row of trianing

(x(i),y(i)) = one training example

h - hypothesis

linear function

hΘ(x) = Θ0 + Θ1 x

Also See

• Machine Leanrning