beginning of linear classification

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beginning of linear classification

Post by nurali » Wed Feb 05, 2020 9:27 pm


So in your course: "Deep Learning Prerequisites: Logistic Regression in Python", in your first lecture, you mentioned w_i as being one of the constants.
so when you defined the h(x) = w_0 + w_1*x_1 + w_2*x_2, I wasn't able to understand what did the w_1 and w_2 meant.

Also could you please tell what a bias term is?

Yours Faithfully,

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Re: beginning of linear classification

Post by lazyprogrammer » Wed Feb 05, 2020 11:06 pm

Thanks for your question.

I would recommend starting with Linear Regression since that will introduce the concepts more intuitively. Please see the Appendix lecture "What order should I take your courses in?" for more info.

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