๋ณธ๋ฌธ์œผ๋กœ ๊ฑด๋„ˆ๋›ฐ๊ธฐ
๋ฐ์ดํ„ฐ ๊ณผํ•™ ํ•™์Šต

Data Science Tutorials

Learn data science and AI with step-by-step tutorials on the DataCamp blog. Master Python, SQL, machine learning, and build your own AI agents.

์นดํ…Œ๊ณ ๋ฆฌ ํƒ์ƒ‰

Artificial IntelligenceGitJuliaPower BIPythonRScalaSpreadsheetsSQLTableau
2๋ช… ์ด์ƒ์„ ๊ต์œกํ•˜์‹œ๋‚˜์š”?DataCamp for Business ์‚ฌ์šฉํ•ด ๋ณด๊ธฐ
์ธ๊ณต์ง€๋Šฅ

GPT-Live-1 API ํŠœํ† ๋ฆฌ์–ผ: ์ „์ฒด ์ด์ค‘(Fullโ€‘Duplex) ์Œ์„ฑ assistant ๊ตฌ์ถ•

์ด GPT-Live-1 API ํŠœํ† ๋ฆฌ์–ผ์„ ๋”ฐ๋ผ ๋ธŒ๋ผ์šฐ์ € WebRTC, ๋ฐฑ์—”๋“œ ์œ„์ž„, ์›น ๊ฒ€์ƒ‰, ํ™•์ธ๋œ ๋™์ž‘์„ ๊ฐ–์ถ˜ ์ „์ฒด ์ด์ค‘ ์Œ์„ฑ ํ•™์Šต assistant๋ฅผ ๊ตฌ์ถ•ํ•˜์„ธ์š”.
๋ฐ์ดํ„ฐ ๋ถ„์„

์Šคํ”ผ์–ด๋งŒ ์ƒ๊ด€๊ด€๊ณ„: ๋น„์„ ํ˜• ๊ด€๊ณ„๋ฅผ ์ •๋Ÿ‰ํ™”ํ•˜๋Š” ๋ฐฉ๋ฒ•

์Šคํ”ผ์–ด๋งŒ ์ˆœ์œ„ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์ง์„ ์ด ์•„๋‹Œ ๊ณก์„ , ํ‰ํƒ„ํ™”, ์†๋„ ๋ณ€ํ™”์˜ ๊ด€๊ณ„๋ฅผ ์–ด๋–ป๊ฒŒ ํฌ์ฐฉํ•˜๋Š”์ง€ ์•Œ์•„๋ณด์„ธ์š”. Python, R, Excel์—์„œ ๊ณ„์‚ฐ, ํ•ด์„, ์ ์šฉํ•˜๋Š” ๋ฒ•์„ ๋ฐฐ์›๋‹ˆ๋‹ค.
Machine Learning

์ธ๊ณผ์  ๋จธ์‹  ๋Ÿฌ๋‹: ์˜ˆ์ธก์—์„œ ์›์ธ๊ณผ ๊ฒฐ๊ณผ๋กœ

์ธ๊ณผ์  ๋จธ์‹  ๋Ÿฌ๋‹์€ ML๊ณผ ์ธ๊ณผ์ถ”๋ก ์„ ๊ฒฐํ•ฉํ•ด ์˜ˆ์ธก์„ ๋„˜์–ด, ๊ฐœ์ž…ํ–ˆ์„ ๋•Œ ๋ฒŒ์–ด์ง€๋Š” ์ผ์„ ์ถ”์ •ํ•ฉ๋‹ˆ๋‹ค. ์ด ๊ธ€์€ ํ•ต์‹ฌ ๊ฐœ๋…, ๋ฐฉ๋ฒ•, Python ๋„๊ตฌ, ํ”ํ•œ ์‹ค์ˆ˜๋ฅผ ๋‹ค๋ฃน๋‹ˆ๋‹ค.
MongoDB

Node.js์™€ MongoDB๋กœ ์นดํ…Œ๊ณ ๋ฆฌ๊ฐ€ ์žˆ๋Š” ๊ฐ„๋‹จํ•œ ์ž‘์—… ๊ด€๋ฆฌ์ž ๋งŒ๋“ค๊ธฐ

Node.js์™€ MongoDB๋กœ ์ž‘์—…์„ ์นดํ…Œ๊ณ ๋ฆฌ๋ณ„๋กœ ์ •๋ฆฌํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๋ฐฐ์›๋‹ˆ๋‹ค. ์ƒ์„ฑ, ๋ชฉ๋ก, ์กฐํšŒ, ์—…๋ฐ์ดํŠธ, ์‚ญ์ œ ์—”๋“œํฌ์ธํŠธ์™€ ์นดํ…Œ๊ณ ๋ฆฌ ํ•„ํ„ฐ๊ฐ€ ์žˆ๋Š” REST API๋ฅผ ๊ตฌ์ถ•ํ•˜์„ธ์š”.
์ธ๊ณต์ง€๋Šฅ

AI ์ฝ”๋”ฉ ์—์ด์ „ํŠธ์˜ ํ† ํฐ ์‚ฌ์šฉ๋Ÿ‰ ์ค„์ด๊ธฐ: ๋„์›€์ด ๋˜๋Š” 4๊ฐ€์ง€ ๋„๊ตฌ

๊ฐ€๋ฒผ์šด ๋„๊ตฌ๋กœ ์ปจํ…์ŠคํŠธ ๋น„๋Œ€ํ™”, ํ„ฐ๋ฏธ๋„ ๋…ธ์ด์ฆˆ, ์žฅํ™ฉํ•œ ์‘๋‹ต, ๊ณผ๋„ํ•œ ์„ค๊ณ„๋ฅผ ์ค„์—ฌ ์ฝ”๋”ฉ ์—์ด์ „ํŠธ ์›Œํฌํ”Œ๋กœ๋ฅผ ์ž๋™ ์ตœ์ ํ™”ํ•˜์„ธ์š”.
๋ฐ์ดํ„ฐ ๋ถ„์„

์ž”์ฐจ ํ”Œ๋กฏ ์™„์ „ ์ •๋ณต: ํšŒ๊ท€ ๋ชจํ˜• ๊ฐ€์ • ์ ๊ฒ€ ๋ฐฉ๋ฒ•

์ž”์ฐจ ํ”Œ๋กฏ์ด ๋ฌด์—‡์ธ์ง€, ํ”ํ•œ ํŒจํ„ด์„ ํ•ด์„ํ•˜๋Š” ๋ฒ•, ๊ทธ๋ฆฌ๊ณ  ์ž”์ฐจ ํ”Œ๋กฏ์ด ๋น„์„ ํ˜•์„ฑ, ์ด๋ถ„์‚ฐ์„ฑ, ์ด์ƒ์น˜ ๋ฐ ๊ธฐํƒ€ ํšŒ๊ท€ ๋ฌธ์ œ๋ฅผ ์‹๋ณ„ํ•˜๋Š” ๋ฐ ์–ด๋–ป๊ฒŒ ๋„์›€์ด ๋˜๋Š”์ง€ ์•Œ์•„๋ณด์„ธ์š”.

Vinod Chugani

Machine Learning

์ž๊ธฐ ์ง€๋„ ํ•™์Šต: ๋ ˆ์ด๋ธ” ์—†๋Š” ๋ฐ์ดํ„ฐ๋กœ ๋ชจ๋ธ์ด ํ•™์Šตํ•˜๋Š” ๋ฐฉ๋ฒ•

์ž๊ธฐ ์ง€๋„ ํ•™์Šต์€ ๋Œ€์กฐ ํ•™์Šต, ๋งˆ์Šคํ‚น ๋ชจ๋ธ๋ง, ์˜คํ† ๋ฆฌ๊ทธ๋ ˆ์‹œ๋ธŒ ์˜ˆ์ธก ๋“ฑ์˜ ๊ธฐ๋ฒ•์œผ๋กœ ๋ ˆ์ด๋ธ” ์—†๋Š” ํ…์ŠคํŠธ, ์ด๋ฏธ์ง€, ์˜ค๋””์˜ค, ๋น„๋””์˜ค์—์„œ ์Šค์Šค๋กœ ๊ฐ๋… ์‹ ํ˜ธ๋ฅผ ๋Œ์–ด์™€ ์˜ค๋Š˜๋‚ ์˜ ์–ธ์–ดยท๋น„์ „ยท๋ฉ€ํ‹ฐ๋ชจ๋‹ฌ ๋ชจ๋ธ ๋’ค์˜ ํ‘œํ˜„์„ ๊ตฌ์ถ•ํ•ฉ๋‹ˆ๋‹ค.
์ธ๊ณต์ง€๋Šฅ

Muse Spark 1.3 ํŠœํ† ๋ฆฌ์–ผ: ์‹ค์ „ ๊ฐœ๋ฐœ์ž ๊ฐ€์ด๋“œ

Muse Code์™€ Meta Model API์—์„œ Muse Spark 1.3์„ ์„ค์ •ํ•˜๊ณ , contributor์™€ standard ํ‹ฐ์–ด๋ฅผ ๋น„๊ตํ•˜๋ฉฐ, Meta์˜ ํšจ์œจ์„ฑ ์ฃผ์žฅ์— ํž˜์ด ์‹ค๋ฆฌ๋Š”์ง€ ํ™•์ธํ•˜์„ธ์š”.