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๐Ÿธminzzi

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CS/Machine Learning

[๋จธ์‹ ๋Ÿฌ๋‹] Supervised Learning(์ง€๋„ํ•™์Šต), Unsupervised Learning(๋น„์ง€๋„ํ•™์Šต), Reinforced Learning(๊ฐ•ํ™”ํ•™์Šต)

2022. 2. 14. 11:55
๊ณต๋ถ€์ค‘์ธ ํ•™๋ถ€์ƒ์ž…๋‹ˆ๋‹ค. ํ‹€๋ฆฐ ๋ถ€๋ถ„์ด ์žˆ๋‹ค๋ฉด ๊ผญ ๋Œ“๊ธ€๋กœ ๋‚จ๊ฒจ์ฃผ์„ธ์š” :)

 

๋จธ์‹ ๋Ÿฌ๋‹์€ ์–ด๋–ค ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„๋ฅ˜ํ•˜๊ฑฐ๋‚˜ ์˜ˆ์ธกํ•˜๋Š” ๊ฒƒ์ด๋‹ค. 

๋จธ์‹ ๋Ÿฌ๋‹์— ๋Œ€ํ•œ ๋” ์ž์„ธํ•œ ๊ฐœ๋…์€ ์•„๋ž˜ ๋งํฌ๋ฅผ ํ†ตํ•ด ํ™•์ธํ•  ์ˆ˜ ์žˆ๋‹ค.

2022.02.13 - [AI/Machine Learning] - [๋จธ์‹ ๋Ÿฌ๋‹] ๋จธ์‹ ๋Ÿฌ๋‹(Machine Learning) ์ด๋ž€?

 

[๋จธ์‹ ๋Ÿฌ๋‹] ๋จธ์‹ ๋Ÿฌ๋‹(Machine Learning) ์ด๋ž€?

๊ณต๋ถ€์ค‘์ธ ํ•™๋ถ€์ƒ์ž…๋‹ˆ๋‹ค. ํ‹€๋ฆฐ ๋ถ€๋ถ„์ด ์žˆ๋‹ค๋ฉด ๊ผญ ๋Œ“๊ธ€๋กœ ๋‚จ๊ฒจ์ฃผ์„ธ์š” :) ๋จธ์‹ ๋Ÿฌ๋‹์ด ๋“ฑ์žฅํ•˜๊ธฐ ์ด์ „์—๋Š” ์ธ๊ณต์ง€๋Šฅ์„ ๊ฐœ๋ฐœํ•˜๊ธฐ ์œ„ํ•ด์„œ ๋งŽ์€ ์–‘์˜ ๋ฐ์ดํ„ฐ๋“ค์„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šคํ™”ํ•˜์—ฌ ์ผ์ผํžˆ ์ˆ˜์ž‘์—…์œผ

world-developer.tistory.com

 

์–ด์จ‹๋“  ๋จธ์‹ ๋Ÿฌ๋‹์„ ํ•˜๊ธฐ ์œ„ํ•ด์„  ์ฃผ์–ด์ง„ ๋ฐ์ดํ„ฐ๋ฅผ ํ•™์Šตํ•ด์•ผํ•˜๋‹ค. 

์—ฌ๊ธฐ์„œ ํ•™์Šต๋ฐฉ๋ฒ•์„ ์„ธ ๊ฐ€์ง€๋กœ ๋ถ„๋ฅ˜ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์ด๋‹ค. 

 

1. ์ง€๋„ํ•™์Šต(Supervised Learning)

2. ๋น„์ง€๋„ํ•™์Šต(Unsupervised Learning)

3. ๊ฐ•ํ™”ํ•™์Šต(Reinforced Learning)

 

โ–ถ ์ง€๋„ํ•™์Šต(Supervised Learning)์ด๋ž€?

์ง€๋„ํ•™์Šต์ด๋ž€ ์ •๋‹ต์„ ์•Œ๋ ค์ฃผ๋ฉฐ ๊ธฐ๊ณ„๋ฅผ ํ•™์Šต์‹œํ‚ค๋Š” ๊ฒƒ์ด๋‹ค. 

 

์˜ˆ) ๊ฐ•์•„์ง€ ์‚ฌ์ง„์„ ์ฃผ๊ณ (input data) ์ด๊ฒƒ์€ ๊ฐ•์•„์ง€ ์‚ฌ์ง„์ด๋ผ๊ณ  ์•Œ๋ ค์ฃผ๊ณ (label data), ํ† ๋ผ ์‚ฌ์ง„์„ ์ฃผ๊ณ  ์ด๊ฒƒ์€ ํ† ๋ผ ์‚ฌ์ง„์ด๋ผ๊ณ  ์•Œ๋ ค์ฃผ๋Š” ๊ฒƒ์ด๋‹ค. ๊ทธ๋Ÿฌ๋ฉด ๊ธฐ๊ณ„๋Š” ๊ทธ ์ •๋‹ต๋Œ€๋กœ ํ•™์Šต์„ ํ•˜๊ฒŒ๋œ๋‹ค. 

 

์ง€๋„ ํ•™์Šต์—๋Š” Classification(๋ถ„๋ฅ˜)์™€ Regression(ํšŒ๊ท€)๊ฐ€ ์žˆ๋‹ค. 

2022.02.19 - [๋ถ„๋ฅ˜ ์ „์ฒด๋ณด๊ธฐ] - [๋จธ์‹ ๋Ÿฌ๋‹] Regression(ํšŒ๊ท€)๊ณผ Classification(๋ถ„๋ฅ˜)

 

[๋จธ์‹ ๋Ÿฌ๋‹] Regression(ํšŒ๊ท€)๊ณผ Classification(๋ถ„๋ฅ˜)

๊ณต๋ถ€์ค‘์ธ ํ•™๋ถ€์ƒ์ž…๋‹ˆ๋‹ค. ํ‹€๋ฆฐ ๋ถ€๋ถ„์ด ์žˆ๋‹ค๋ฉด ๊ผญ ๋Œ“๊ธ€๋กœ ๋‚จ๊ฒจ์ฃผ์„ธ์š” :) Supervised learning(์ง€๋„ํ•™์Šต)์—๋Š” ํฌ๊ฒŒ Regression(ํšŒ๊ท€)๊ณผ Classification(๋ถ„๋ฅ˜)๋กœ ๋‚˜๋‰œ๋‹ค. Supervised learning์ด๋ž€ ๊ฐ„๋‹จํžˆ ์ •๋‹ต์„ ๋ฏธ๋ฆฌ..

world-developer.tistory.com

 

โ–ถ ๋น„์ง€๋„ํ•™์Šต(Unsupervised Learning)์ด๋ž€?

๋น„์ง€๋„ํ•™์Šต์ด๋ž€ ์ •๋‹ต์„ ์•Œ๋ ค์ฃผ์ง€ ์•Š๊ณ (label ๋˜์–ด์žˆ๋Š” ๊ฐ’์ด ์—†๋Š”), ๋น„์Šทํ•œ ํŠน์„ฑ์„ ๊ฐ€์ง„ ๋ฐ์ดํ„ฐ๋ผ๋ฆฌ ๊ตฐ์ง‘ํ™”ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. 

์ •๋‹ต์ด ๋ฌด์—‡์ธ์ง€ ๋ชจ๋ฅด๊ธฐ ๋•Œ๋ฌธ์— ํ•™์Šต์ด ๋งž๊ฒŒ ๋๋Š”์ง€ ํ™•์ธํ•  ์ˆ˜๋Š” ์—†์ง€๋งŒ ๊ฑฐ์˜ ๋ชจ๋“  ๋ฐ์ดํ„ฐ๋Š” ๋ ˆ์ด๋ธ”์ด ์—†๋Š” ํ˜•ํƒœ๋กœ ์กด์žฌํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์•ž์œผ๋กœ ๋จธ์‹ ๋Ÿฌ๋‹์ด ๋‚˜์•„๊ฐˆ ๋ฐฉํ–ฅ์œผ๋กœ ์„ค์ •๋˜์–ด ์žˆ๋‹ค. 

 

์˜ˆ) ๊ฐ•์•„์ง€, ํ† ๋ผ, ๋‹ญ, ์ฐธ์ƒˆ ์‚ฌ์ง„์„ ๋น„์ง€๋„ํ•™์Šต์„ ์‹œํ‚ฌ ๋•Œ, ๋‹ค๋ฆฌ๊ฐ€ 4๊ฐœ์ธ ๊ฐ•์•„์ง€์™€ ํ† ๋ผ๋ฅผ ํ•œ ๋ถ„๋ฅ˜๋กœ, 2๊ฐœ์˜ ๋‹ค๋ฆฌ๋ฅผ ๊ฐ€์ง„ ๋‹ญ๊ณผ ์ฐธ์ƒˆ๋ฅผ ํ•œ ๋ถ„๋ฅ˜๋กœ ๋‚˜๋ˆŒ ๊ฒƒ์ด๋‹ค. 

 

์ด๋Ÿฌํ•œ ๋น„์ง€๋„ํ•™์Šต์€ ๋ฐ์ดํ„ฐ์˜ ํŠน์ง•(feature)์ด๋‚˜ ๊ตฌ์กฐ๋ฅผ ๋ฐœ๊ฒฌํ•˜๋Š”๋ฐ ์‚ฌ์šฉ๋˜๊ธฐ๋„ ํ•œ๋‹ค. 

 

โ–ถ ๊ฐ•ํ™”ํ•™์Šต(Reinforced Learning)์ด๋ž€?

๊ฐ•ํ™”ํ•™์Šต์ด๋ž€ ํ˜„์žฌ์˜ ์ƒํƒœ(state)์—์„œ ์–ด๋–ค ํ–‰๋™(action)์„ ์ทจํ•˜๋Š” ๊ฒƒ์ด ์ตœ์ ์ธ์ง€ ํ•™์Šตํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ๊ทธ๋ž˜์„œ ํ–‰๋™์„ ์ทจํ•  ๋•Œ๋งˆ๋‹ค ์ƒ๊ณผ ๋ฒŒ์ด๋ผ๋Š” ๋ณด์ƒ(reward)์„ ์ฃผ๋ฉฐ ์ƒ์„ ์ตœ๋Œ€ํ™”ํ•˜๊ณ  ๋ฒŒ์„ ์ตœ์†Œํ™”ํ™”๋Š” ๋ฐฉ์‹์ด๋‹ค. 

 

๊ฐ•ํ™”ํ•™์Šต ๊ฐœ๋…๋„

 

์˜ˆ) ์•ŒํŒŒ๊ณ ๊ฐ€ ๊ฐ•ํ™”ํ•™์Šต์˜ ๋Œ€ํ‘œ์ ์ธ ์˜ˆ์ด๋‹ค. ํ˜„์žฌ ๋‚˜์™€ ์ ์˜ ๋ฐ”๋‘‘๋Œ์ด ์ƒํƒœ(state)์ด๋ฉฐ ์—ฌ๊ธฐ์„œ ์–ด๋–ค ๋ฐ”๋‘‘๋Œ์„ ์–ด๋–ป๊ฒŒ ๋†“์„ ์ง€๊ฐ€ ํ–‰๋™(action)์ด๋‹ค. ์ ์˜ ๋ฐ”๋‘‘๋Œ์„ ์žก์•˜์„ ๋•Œ ๋ณด์ƒ์„ ๋ฐ›๊ฒŒ ๋œ๋‹ค. ๊ทธ๋ž˜์„œ ์ตœ์ ์˜ ๋ฐฉ๋ฒ•์„ ์ฐพ๋Š”๋ฐ ์“ฐ์ด๋Š” ํ•™์Šต๋ฐฉ๋ฒ•์ด๋‹ค. 

 


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