{"id":6266,"date":"2021-05-24T08:56:52","date_gmt":"2021-05-24T01:56:52","guid":{"rendered":"https:\/\/bap-software.net\/?p=6266"},"modified":"2024-06-18T14:34:09","modified_gmt":"2024-06-18T07:34:09","slug":"programming-languages","status":"publish","type":"post","link":"https:\/\/bap-software.net\/vi\/programming-languages\/","title":{"rendered":"5 ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh h\u1ee9a h\u1eb9n d\u00e0nh cho AI v\u00e0 Machine Learning"},"content":{"rendered":"

Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (Artificial Intelligence) v\u00e0 H\u1ecdc m\u00e1y (Machine Learning) l\u00e0 nh\u1eefng l\u0129nh v\u1ef1c \u0111\u01b0\u1ee3c quan t\u00e2m h\u00e0ng \u0111\u1ea7u t\u1ea1i Vi\u1ec7t Nam c\u0169ng nh\u01b0 nhi\u1ec1u n\u01b0\u1edbc ph\u00e1t tri\u1ec3n tr\u00ean to\u00e0n th\u1ebf gi\u1edbi.<\/p>\n

N\u1ebfu b\u1ea1n quan t\u00e2m \u0111\u1ebfn nh\u1eefng l\u0129nh v\u1ef1c n\u00e0y th\u00ec s\u1ebd c\u00f3 r\u1ea5t nhi\u1ec1u l\u1ef1a ch\u1ecdn v\u1ec1 ng\u00f4n ng\u1eef \u0111\u1ec3 b\u1eaft \u0111\u1ea7u. Ngo\u00e0i ra, b\u1ea1n c\u1ea7n c\u00f3 chi\u1ebfn l\u01b0\u1ee3c l\u1ef1a ch\u1ecdn ng\u00f4n ng\u1eef \u0111\u00e1p \u1ee9ng t\u1ed1t nh\u1ea5t nhu c\u1ea7u c\u1ee7a m\u00ecnh v\u00e0 gi\u00fap \u0111\u1ea3m b\u1ea3o t\u01b0\u01a1ng lai c\u1ee7a b\u1ea1n trong l\u0129nh v\u1ef1c AI v\u00e0 H\u1ecdc m\u00e1y. H\u00e3y c\u00f9ng t\u00ecm hi\u1ec3u n\u0103m ng\u00f4n ng\u1eef h\u00e0ng \u0111\u1ea7u \u0111ang m\u1edf \u0111\u01b0\u1eddng cho 2 l\u0129nh v\u1ef1c n\u00e0y nh\u00e9.<\/p>\n

\"5<\/p>\n

1. Python<\/strong><\/h2>\n

Python l\u00e0 ng\u00f4n ng\u1eef quan tr\u1ecdng nh\u1ea5t \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong l\u0129nh v\u1ef1c AI v\u00e0 H\u1ecdc m\u00e1y. \u0110\u00e2y l\u00e0 m\u1ed9t ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh \u0111\u01a1n gi\u1ea3n v\u00e0 \u0111\u00e3 tr\u1edf th\u00e0nh ng\u00f4n ng\u1eef s\u1eed d\u1ee5ng cho AI. So v\u1edbi c\u00e1c ng\u00f4n ng\u1eef kh\u00e1c, Python h\u1ecdc nhanh h\u01a1n v\u00e0 gi\u1ea3m th\u1eddi gian c\u1ea7n thi\u1ebft \u0111\u1ec3 ph\u00e1t tri\u1ec3n, \u0111\u1ed3ng th\u1eddi duy tr\u00ec h\u1ed7 tr\u1ee3 cho l\u1eadp tr\u00ecnh h\u01b0\u1edbng \u0111\u1ed1i t\u01b0\u1ee3ng, ch\u1ee9c n\u0103ng c\u0169ng nh\u01b0 h\u01b0\u1edbng th\u1ee7 t\u1ee5c.<\/p>\n

Nhi\u1ec1u b\u1ea1n quy\u1ebft \u0111\u1ecbnh b\u1eaft \u0111\u1ea7u v\u1edbi ng\u00f4n ng\u1eef n\u00e0y v\u00ec s\u1ef1 ph\u1ed5 bi\u1ebfn c\u1ee7a n\u00f3. Python c\u00f3 m\u1ed9t c\u1ed9ng \u0111\u1ed3ng h\u1ed7 tr\u1ee3 s\u00f4i n\u1ed5i, b\u1ea1n c\u00f3 th\u1ec3 d\u1ec5 d\u00e0ng t\u00ecm th\u1ea5y c\u00e1c t\u00e0i li\u1ec7u hay kh\u00f3a h\u1ecdc h\u01b0\u1edbng d\u1eabn tr\u1ef1c tuy\u1ebfn, di\u1ec5n \u0111\u00e0n, nh\u00f3m h\u1ed7 tr\u1ee3,… gi\u00fap b\u1ea1n n\u1eafm ch\u1eafc ki\u1ebfn th\u1ee9c v\u00e0 \u00e1p d\u1ee5ng nhu\u1ea7n nhuy\u1ec5n.<\/p>\n

2. R<\/strong><\/h2>\n

Ng\u00f4n ng\u1eef R l\u00e0 m\u1ed9t l\u1ef1a ch\u1ecdn ph\u1ed5 bi\u1ebfn \u0111\u1ec3 ph\u00e2n t\u00edch, thao t\u00e1c v\u00e0 \u0111\u00e1nh gi\u00e1 d\u1eef li\u1ec7u th\u1ed1ng k\u00ea. M\u1eb7c d\u00f9 R \u0111\u01b0\u1ee3c bi\u1ebft \u0111\u1ebfn nhi\u1ec1u nh\u1ea5t nh\u01b0 m\u1ed9t ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh c\u00f3 m\u1ee5c \u0111\u00edch chung, nh\u01b0ng m\u1ed9t s\u1ed1 package c\u00f3 s\u1eb5n khi\u1ebfn R \u0111\u1eb7c bi\u1ec7t ph\u00f9 h\u1ee3p v\u1edbi h\u1ecdc m\u00e1y v\u00e0 AI. Ch\u00fang bao g\u1ed3m RODBC, Gmodels, Class v\u00e0 Tm. C\u00e1c g\u00f3i n\u00e0y \u0111\u01a1n gi\u1ea3n h\u00f3a qu\u00e1 tr\u00ecnh tri\u1ec3n khai c\u00e1c thu\u1eadt to\u00e1n cho h\u1ecdc m\u00e1y, \u0111\u1eb7c bi\u1ec7t l\u00e0 cho c\u00e1c b\u00e0i to\u00e1n \u0111\u1ecbnh h\u01b0\u1edbng kinh doanh.<\/p>\n

Tuy ch\u00fang c\u00f3 h\u01a1i ph\u1ee9c t\u1ea1p \u0111\u1ed1i v\u1edbi nh\u1eefng b\u1ea1n m\u1edbi b\u1eaft \u0111\u1ea7u t\u00ecm hi\u1ec3u, tuy nhi\u00ean, s\u1ebd gi\u00fap \u00edch cho b\u1ea1n r\u1ea5t nhi\u1ec1u khi \u00e1p d\u1ee5ng v\u00e0o AI.<\/p>\n

3. Lisp<\/strong><\/h2>\n

Lisp \u0111\u00e3 \u0111\u00f3ng vai tr\u00f2 l\u00e0 m\u1ed9t ng\u00f4n ng\u1eef quan tr\u1ecdng cho AI v\u00e0 h\u1ecdc m\u00e1y k\u1ec3 t\u1eeb khi ra \u0111\u1eddi v\u00e0o n\u0103m 1958. \u0110\u00e2y l\u00e0 ng\u00f4n ng\u1eef \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n v\u00e0 s\u1eed d\u1ee5ng b\u1edfi cha \u0111\u1ebb c\u1ee7a AI, John McCarthy. Lisp c\u00f3 m\u1ed9t s\u1ed1 \u01b0u \u0111i\u1ec3m khi\u1ebfn n\u00f3 r\u1ea5t ph\u00f9 h\u1ee3p v\u1edbi AI nh\u01b0 kh\u1ea3 n\u0103ng prototyping (t\u1ea1o m\u1eabu) tuy\u1ec7t v\u1eddi c\u1ee7a n\u00f3 v\u00e0 s\u1ef1 h\u1ed7 tr\u1ee3 c\u1ee7a n\u00f3 \u0111\u1ed1i v\u1edbi symbolic expression (bi\u1ec3u th\u1ee9c k\u00fd hi\u1ec7u). N\u00f3 l\u00e0 m\u1ed9t ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh m\u1ea1nh v\u00e0 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong c\u00e1c d\u1ef1 \u00e1n AI l\u1edbn nh\u01b0 Macsyma, DART, v\u00e0 CYC.<\/span><\/p>\n

Ng\u00f4n ng\u1eef Lisp ph\u1ea7n l\u1edbn \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong M\u00e1y h\u1ecdc (Machine learning)\/ILP sub-field b\u1edfi v\u00ec c\u1ea5u tr\u00fac k\u00fd hi\u1ec7u (symbolic structure) v\u00e0 t\u00ednh kh\u1ea3 d\u1ee5ng c\u1ee7a n\u00f3.<\/p>\n

4. Prolog<\/strong><\/h2>\n

Prolog l\u00e0 m\u1ed9t trong nh\u1eefng ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh c\u00f3 m\u1ed9t s\u1ed1 c\u01a1 ch\u1ebf c\u01a1 b\u1ea3n m\u00e0 s\u1ebd c\u1ef1c k\u1ef3 h\u1eefu \u00edch trong l\u1eadp tr\u00ecnh AI. V\u00ed d\u1ee5: n\u00f3 mang \u0111\u1ebfn \u0111\u1ed1i s\u00e1nh m\u1eabu (pattern matching), quay lui t\u1ef1 \u0111\u1ed9ng (automatic backtracking), v\u00e0 c\u00e1c c\u01a1 ch\u1ebf c\u1ea5u tr\u00fac d\u1eef li\u1ec7u d\u1ea1ng c\u00e2y (tree-based data structuring mechanisms). K\u1ebft h\u1ee3p nh\u1eefng c\u01a1 ch\u1ebf n\u00e0y s\u1ebd mang \u0111\u1ebfn cho b\u1ea1n m\u1ed9t framework linh ho\u1ea1t trong qu\u00e1 tr\u00ecnh l\u00e0m vi\u1ec7c.<\/p>\n

Prolog \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng bao qu\u00e1t trong c\u00e1c h\u1ec7 chuy\u00ean gia (expert system) c\u1ee7a AI v\u00e0 c\u0169ng r\u1ea5t h\u1eefu \u00edch khi th\u1ef1c hi\u1ec7n c\u00e1c d\u1ef1 \u00e1n y t\u1ebf.<\/p>\n

5. Java\u00a0<\/strong><\/h2>\n

Java c\u0169ng l\u00e0 m\u1ed9t l\u1ef1a ch\u1ecdn tuy\u1ec7t v\u1eddi. N\u00f3 l\u00e0 m\u1ed9t ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh theo h\u01b0\u1edbng \u0111\u1ed1i t\u01b0\u1ee3ng ch\u00fa tr\u1ecdng \u0111\u1ebfn vi\u1ec7c cung c\u1ea5p c\u00e1c t\u00ednh n\u0103ng c\u1ea5p cao c\u1ea7n thi\u1ebft trong qu\u00e1 tr\u00ecnh th\u1ef1c hi\u1ec7n d\u1ef1 \u00e1n AI, n\u00f3 kh\u1ea3 chuy\u1ec3n (portable), v\u00e0 c\u00f3 b\u1ed9 thu d\u1ecdn r\u00e1c (garbage collection) g\u1eafn li\u1ec1n. C\u1ed9ng \u0111\u1ed3ng Java c\u0169ng l\u00e0 m\u1ed9t \u0111i\u1ec3m c\u1ed9ng v\u00ec khi b\u1ea1n c\u00f3 b\u1ea5t k\u1ef3 th\u1eafc m\u1eafc hay v\u1ea5n \u0111\u1ec1 n\u00e0o, th\u00ec c\u0169ng s\u1ebd c\u00f3 nhi\u1ec1u ng\u01b0\u1eddi c\u00f3 th\u1ec3 gi\u00fap \u0111\u1ee1 b\u1ea1n.<\/p>\n

Do t\u00ednh d\u1ec5 s\u1eed d\u1ee5ng v\u00e0 debug d\u1ec5 d\u00e0ng c\u1ee7a Java, n\u00f3 cho ph\u00e9p t\u1ea1o ra m\u1ed9t m\u00f4i tr\u01b0\u1eddng l\u00e0m vi\u1ec7c linh ho\u1ea1t c\u00f3 th\u1ec3 gi\u00fap l\u1eadp tr\u00ecnh AI d\u1ec5 d\u00e0ng h\u01a1n. C\u00e1c d\u1ecbch v\u1ee5 tr\u1ecdn g\u00f3i v\u00e0 bi\u1ec3u di\u1ec5n \u0111\u1ed3 h\u1ecda c\u1ee7a n\u00f3 c\u0169ng c\u00f3 th\u1ec3 gi\u00fap t\u1ea1o quy tr\u00ecnh l\u00e0m vi\u1ec7c \u0111\u01a1n gi\u1ea3n h\u01a1n cho c\u00e1c d\u1ef1 \u00e1n quy m\u00f4 l\u1edbn. Java c\u00f3 th\u1ec3 l\u00e0 l\u1ef1a ch\u1ecdn t\u1ed1t nh\u1ea5t khi giao di\u1ec7n \u0111\u1ed3 h\u1ecda h\u1ea5p d\u1eabn l\u00e0 ch\u00eca kh\u00f3a cho m\u1ed9t d\u1ef1 \u00e1n th\u00e0nh c\u00f4ng.<\/p>\n

Ngu\u1ed3n: itwork.vn; tma.vn<\/p>\n

<\/p>","protected":false},"excerpt":{"rendered":"

Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (Artificial Intelligence) v\u00e0 H\u1ecdc m\u00e1y (Machine Learning) l\u00e0 nh\u1eefng l\u0129nh v\u1ef1c \u0111\u01b0\u1ee3c quan t\u00e2m h\u00e0ng \u0111\u1ea7u t\u1ea1i Vi\u1ec7t Nam c\u0169ng nh\u01b0 nhi\u1ec1u n\u01b0\u1edbc ph\u00e1t tri\u1ec3n tr\u00ean to\u00e0n th\u1ebf gi\u1edbi. N\u1ebfu b\u1ea1n quan t\u00e2m \u0111\u1ebfn nh\u1eefng l\u0129nh v\u1ef1c n\u00e0y th\u00ec s\u1ebd c\u00f3 r\u1ea5t nhi\u1ec1u l\u1ef1a ch\u1ecdn v\u1ec1 ng\u00f4n ng\u1eef \u0111\u1ec3 b\u1eaft \u0111\u1ea7u. Ngo\u00e0i ra, b\u1ea1n c\u1ea7n c\u00f3 chi\u1ebfn l\u01b0\u1ee3c l\u1ef1a ch\u1ecdn ng\u00f4n ng\u1eef \u0111\u00e1p \u1ee9ng t\u1ed1t nh\u1ea5t nhu c\u1ea7u c\u1ee7a m\u00ecnh v\u00e0 gi\u00fap \u0111\u1ea3m b\u1ea3o t\u01b0\u01a1ng lai c\u1ee7a b\u1ea1n trong l\u0129nh v\u1ef1c AI v\u00e0 H\u1ecdc m\u00e1y. H\u00e3y c\u00f9ng t\u00ecm hi\u1ec3u n\u0103m ng\u00f4n ng\u1eef h\u00e0ng \u0111\u1ea7u \u0111ang m\u1edf \u0111\u01b0\u1eddng cho 2 l\u0129nh v\u1ef1c n\u00e0y nh\u00e9. 1. Python Python l\u00e0 ng\u00f4n ng\u1eef quan tr\u1ecdng nh\u1ea5t \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong l\u0129nh v\u1ef1c AI v\u00e0 H\u1ecdc m\u00e1y. \u0110\u00e2y l\u00e0 m\u1ed9t ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh \u0111\u01a1n gi\u1ea3n v\u00e0 \u0111\u00e3 tr\u1edf th\u00e0nh ng\u00f4n ng\u1eef s\u1eed d\u1ee5ng cho AI. So v\u1edbi c\u00e1c ng\u00f4n ng\u1eef kh\u00e1c, Python h\u1ecdc nhanh h\u01a1n v\u00e0 gi\u1ea3m th\u1eddi gian c\u1ea7n thi\u1ebft \u0111\u1ec3 ph\u00e1t tri\u1ec3n, \u0111\u1ed3ng th\u1eddi duy tr\u00ec h\u1ed7 tr\u1ee3 cho l\u1eadp tr\u00ecnh h\u01b0\u1edbng \u0111\u1ed1i t\u01b0\u1ee3ng, ch\u1ee9c n\u0103ng c\u0169ng nh\u01b0 h\u01b0\u1edbng th\u1ee7 t\u1ee5c. Nhi\u1ec1u b\u1ea1n quy\u1ebft \u0111\u1ecbnh b\u1eaft \u0111\u1ea7u v\u1edbi ng\u00f4n ng\u1eef n\u00e0y v\u00ec s\u1ef1 ph\u1ed5 bi\u1ebfn c\u1ee7a n\u00f3. Python c\u00f3 m\u1ed9t c\u1ed9ng \u0111\u1ed3ng h\u1ed7 tr\u1ee3 s\u00f4i n\u1ed5i, b\u1ea1n c\u00f3 th\u1ec3 d\u1ec5 d\u00e0ng t\u00ecm th\u1ea5y c\u00e1c t\u00e0i li\u1ec7u hay kh\u00f3a h\u1ecdc h\u01b0\u1edbng d\u1eabn tr\u1ef1c tuy\u1ebfn, di\u1ec5n \u0111\u00e0n, nh\u00f3m h\u1ed7 tr\u1ee3,… gi\u00fap b\u1ea1n n\u1eafm ch\u1eafc ki\u1ebfn th\u1ee9c v\u00e0 \u00e1p d\u1ee5ng nhu\u1ea7n nhuy\u1ec5n. 2. R Ng\u00f4n ng\u1eef R l\u00e0 m\u1ed9t l\u1ef1a ch\u1ecdn ph\u1ed5 bi\u1ebfn \u0111\u1ec3 ph\u00e2n t\u00edch, thao t\u00e1c v\u00e0 \u0111\u00e1nh gi\u00e1 d\u1eef li\u1ec7u th\u1ed1ng k\u00ea. M\u1eb7c d\u00f9 R \u0111\u01b0\u1ee3c bi\u1ebft \u0111\u1ebfn nhi\u1ec1u nh\u1ea5t nh\u01b0 m\u1ed9t ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh c\u00f3 m\u1ee5c \u0111\u00edch chung, nh\u01b0ng m\u1ed9t s\u1ed1 package c\u00f3 s\u1eb5n khi\u1ebfn R \u0111\u1eb7c bi\u1ec7t ph\u00f9 h\u1ee3p v\u1edbi h\u1ecdc m\u00e1y v\u00e0 AI. Ch\u00fang […]<\/p>\n","protected":false},"author":10,"featured_media":6268,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"location":[],"class_list":["post-6266","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"\n5 ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh h\u1ee9a h\u1eb9n d\u00e0nh cho AI v\u00e0 Machine Learning<\/title>\n<meta name=\"description\" content=\"Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (Artificial Intelligence) v\u00e0 H\u1ecdc m\u00e1y (Machine Learning) l\u00e0 nh\u1eefng l\u0129nh v\u1ef1c \u0111\u01b0\u1ee3c quan t\u00e2m h\u00e0ng \u0111\u1ea7u t\u1ea1i Vi\u1ec7t Nam c\u0169ng nh\u01b0 nhi\u1ec1u n\u01b0\u1edbc...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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