11 Fri

TIL

ํ”„๋กœ๊ทธ๋ž˜๋จธ์Šค AI ์Šค์ฟจ 1๊ธฐ

2์ฃผ์ฐจ DAY 5

Coursera ML

๊ธฐํ•œ์ด ์ง€๋‚˜ ๋ถ€๋žด๋ถ€๋žด ๋“ฃ๋Š” ์ค‘. ์ˆ˜์—…์ด ๋„ˆ๋ฌด ์žฌ๋ฐŒ๋‹ค. ์‹œ๊ฐ„๋งŒ ๋‚˜๋ฉด ๊ณ„์† ๋“ค์–ด์•ผ๊ฒ ๋‹ค.

Multiple Features

x4(1)x^{(1)}_{4} means not exponential, only index. xj(i)x^{(i)}_{j} means that i is i-th training example and j is value of j-th feature in i-th training example.

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