๋ณธ๋ฌธ ๋ฐ”๋กœ๊ฐ€๊ธฐ

๐“ก๐“ธ๐“ธ๐“ถ5: ๐’ฆ๐‘œ๐“‡๐‘’๐’ถ ๐’ฐ๐“ƒ๐’พ๐“‹/๊ฒฝ์˜์ •๋ณด์‹œ์Šคํ…œ(BUSS215)

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[๊ฒฝ์˜์ •๋ณด์‹œ์Šคํ…œ] 3. Marketing Research Marketing Research Formal Communication link with the environment for providing accurate and useful information for planning, problem solving, and control which leads to better decision making. specifying, collecting, analyzing, interpreting information์„ ์ˆ˜๋ฐ˜ํ•จ! Primary Data : Expensive Secondary Data : not always suitable research process ๋ฌธ์ œ์ธ์‹์„ ํ•œ๋‹ค ์ด์ „์— ์ฐพ์€ ๊ฒƒ์„ ๊ฒ€ํ† ํ•œ๋‹ค solution์„ ์„ค๊ณ„ํ•˜๊ณ  variables๋ฅผ ์„ ํƒํ•œ๋‹ค ๋ฐ์ดํ„ฐ๋ฅผ..
[๊ฒฝ์˜์ •๋ณด์‹œ์Šคํ…œ] 2. Regression Regression Regression X์™€ Y ์‚ฌ์ด์˜ relationship์„ ๋ถ„์„ํ•˜๋Š” statistical model X = ํ•˜๋‚˜ ์ด์ƒ์˜ independent/explanatory variables Y = dependent, target, explanatory variables, ์ฆ‰ ์šฐ๋ฆฌ๊ฐ€ ์˜ˆ์ธกํ•˜๊ณ  ์‹ถ์€ ๊ฒƒ x๊ฐ’์˜ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ Y๊ฐ’์„ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•ด, ๋” ๋‚˜์•„๊ฐ€ X์™€ Y ๊ฐ„์˜ relationship์„ explanationํ•˜๊ธฐ ์œ„ํ•ด! ๋ฐ์ดํ„ฐ์…‹์„ ํ•™์Šตํ•˜์—ฌ ์•„์ง๋ชจ๋ฅด๋Š” parameter a, b๊ฐ’์„ ๊ตฌํ•ด๋‚ธ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด Height = a + b(Age) ๋ผ๊ณ  ํ•ด๋ณด์ž. Age๊ฐ€ ์ปค์งˆ ์ˆ˜๋ก Height๋„ ์–ด๋Š์ •๋„ ๋น„๋ก€ํ•ด์„œ ์ปค์งˆ ๊ฒƒ์ด๋‹ค. ์‹ค์ œ๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ๋ถ„๋ฉด ์œ„์— ํ‘œ์‹œํ•ด๋ณด๋ฉด ๊ทธ๋ž˜ํ”„์˜ ๊ธฐ์šธ๊ธฐ๊ฐ€ ์–‘์ˆ˜์ธ ํ˜•ํƒœ์˜ ๊ทธ๋ž˜..
[๊ฒฝ์˜์ •๋ณด์‹œ์Šคํ…œ] 1. Artificial Intelligence * Exemplary System์€ ์‹œํ—˜๋ฒ”์œ„์— ํฌํ•จ๋˜์ง€ ์•Š์œผ๋‹ˆ ์ƒ๋žตํ•œ๋‹ค Deductive : ์—ฐ์—ญ๋ฒ• (Idea -> Observations -> Conclusion) -> Rule-Based Inductive : ๊ท€๋‚ฉ๋ฒ• -> Case-Based (Observations -> Analysis -> Theory) Artificial Intelligence (AI) A huge set of tools for making computers behave intelligently Expert system : ์‚ฌ๋žŒ์ด ์•„๋Š” ๊ฒƒ์„ ๊ธฐ๊ณ„์—๊ฒŒ ๊ทธ๋Œ€๋กœ ์ฃผ์ž…์‹œ์ผœ ์˜์‚ฌ๋‚˜ ๋ณ€ํ˜ธ์‚ฌ์ฒ˜๋Ÿผ ์ถ”๋ก ํ•˜๋Š” ๊ธฐ๊ณ„๋ฅผ ๋งŒ๋“ค ์ˆ˜ ์žˆ๋‹ค๋Š” ์ƒ๊ฐ์—์„œ ๋‚˜์˜จ ๊ฒƒ์œผ๋กœ Rule based์ธ AI ์ข…๋ฅ˜ ์ค‘ ํ•˜๋‚˜. ํ•˜์ง€๋งŒ ์ด๊ฒƒ์€ ์ธ๊ฐ„์˜ ๋Šฅ๋ ฅ๊ณผ ๋น„๊ตํ–ˆ์„ ๋•Œ ํ•œ์ฐธ ๋ถ€์กฑํ•จ..