【機器學習筆記】吳恩達公開課·第七章 Logistic 迴歸

假設陳述 h(x) : estimated probability that y = 1 on input x h θ ( x ) = P ( y = 1   ∣   x ; θ ) = g ( θ T x ) \large h_\theta(x) = P(y=1\,|\,x;\theta)= g(\theta^Tx) hθ​(x)=P(y=1∣x;θ)=g

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