{"id":452,"date":"2022-02-10T02:06:00","date_gmt":"2022-02-10T02:06:00","guid":{"rendered":"https:\/\/gmartek.com\/digiforce\/?p=452"},"modified":"2022-05-27T22:15:10","modified_gmt":"2022-05-27T22:15:10","slug":"data-mining-machine-learning-artificial-intelligence-and-deep-learning","status":"publish","type":"post","link":"https:\/\/gmartek.com\/digiforce\/data-mining-machine-learning-artificial-intelligence-and-deep-learning\/","title":{"rendered":"Data Mining, Machine Learning, Artificial Intelligence and Deep Learning"},"content":{"rendered":"\n

\u0110\u00e2y l\u00e0 b\u00e0i ra m\u1eaft c\u1ee7a gi\u00e1o s\u01b0 Ace V\u00f5, di\u1ec5n gi\u1ea3 \u0111\u1ea7u ti\u00ean trong 5 di\u1ec5n gi\u1ea3 c\u1ee7a webinar “Paths to digital careers”. Ace hi\u1ec7n nay l\u00e0 gi\u00e1o s\u01b0 ng\u00e0nh Business Analytics c\u1ee7a \u0110\u1ea1i H\u1ecdc Loyola Marymount \u1edf Los Angeles, Hoa K\u1ef3.<\/p>\n\n\n\n

B\u00e0i nguy\u00ean g\u1ed1c b\u1eb1ng ti\u1ebfng Anh. B\u1ea3n ti\u1ebfng Vi\u1ec7t do c\u00e1c b\u1ea1n admins c\u1ee7a digiforce d\u1ecbch \u1edf ngay sau \u0111\u00e2y:<\/p>\n\n\n\n

Data Mining (khai ph\u00e1 d\u1eef li\u1ec7u), Machine Learning (h\u1ecdc m\u00e1y), Artificial Intelligence (tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o) v\u00e0 Deep Learning (h\u1ecdc s\u00e2u) l\u00e0 nh\u1eefng t\u1eeb kh\u00f3a hot nh\u1eefng n\u0103m g\u1ea7n \u0111\u00e2y. Ch\u00fang l\u00e0 g\u00ec, ch\u00fang li\u00ean quan nh\u01b0 th\u1ebf n\u00e0o?<\/p>\n\n\n\n

Data Mining – Khai ph\u00e1 d\u1eef li\u1ec7u<\/strong><\/p>\n\n\n\n

Gi\u1ea3i th\u00edch trong 3 n\u1ed1t nh\u1ea1c: Khai ph\u00e1 d\u1eef li\u1ec7u l\u00e0 vi\u1ec7c t\u00ecm ki\u1ebfm c\u00e1c t\u01b0\u01a1ng \u0111\u1ed3ng trong d\u1eef li\u1ec7u \u0111\u1ec3 gi\u1ea3i th\u00edch m\u1ed9t s\u1ed1 hi\u1ec7n t\u01b0\u1ee3ng.<\/p>\n\n\n\n

Data Mining l\u00e0 m\u1ed9t thu\u1eadt ng\u1eef \u0111\u00e3 c\u0169 so v\u1edbi AI, Machine Learning v\u00e0 Deep Learning. Data Mining l\u00e0 vi\u1ec7c hi\u1ec3u d\u1eef li\u1ec7u v\u00e0 c\u00e1ch d\u1eef li\u1ec7u li\u00ean quan v\u1edbi nhau. N\u00f3 x\u00e2y d\u1ef1ng tr\u1ef1c gi\u00e1c v\u1ec1 to\u00e0n b\u1ed9 d\u1eef li\u1ec7u.<\/p>\n\n\n\n

V\u00ed d\u1ee5: Nh\u1eefng kho\u1ea3n vay n\u00e0o c\u00f3 kh\u1ea3 n\u0103ng b\u1ecb v\u1ee1 n\u1ee3? Data Mining c\u00f3 th\u1ec3 tr\u1ea3 l\u1eddi c\u00e2u h\u1ecfi n\u00e0y.<\/p>\n\n\n\n

Artificial Intelligence – Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o<\/strong><\/p>\n\n\n\n

Gi\u1ea3i th\u00edch trong 3 n\u1ed1t nh\u1ea1c: Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o l\u00e0 t\u1ea1o ra nh\u1eefng c\u00e1ch m\u00e0 m\u00e1y m\u00f3c c\u00f3 th\u1ec3 b\u1eaft ch\u01b0\u1edbc c\u00e1c h\u00e0nh vi c\u1ee7a con ng\u01b0\u1eddi.<\/p>\n\n\n\n

AI l\u00e0 m\u1ed9t l\u0129nh v\u1ef1c r\u1ed9ng l\u1edbn, c\u00f3 \u1ee9ng d\u1ee5ng r\u1ed9ng r\u00e3i. Kh\u00f4ng gi\u1ed1ng nh\u01b0 con ng\u01b0\u1eddi, m\u00e1y t\u00ednh kh\u00f4ng th\u1ec3 n\u00f3i, nh\u00ecn, c\u0169ng nh\u01b0 th\u1ef1c hi\u1ec7n b\u1ea5t k\u1ef3 t\u00e1c v\u1ee5 n\u00e0o c\u1ee7a con ng\u01b0\u1eddi. AI l\u00e0 m\u1ed9t c\u00e1ch \u0111\u1ec3 \u201cnh\u00fang\u201d tr\u00ed th\u00f4ng minh c\u1ee7a con ng\u01b0\u1eddi v\u00e0o m\u00e1y t\u00ednh, nh\u01b0 t\u00ean g\u1ecdi c\u1ee7a n\u00f3, m\u1ed9t c\u00e1ch nh\u00e2n t\u1ea1o. N\u00f3 c\u00f3 th\u1ec3 th\u00f4ng qua x\u1eed l\u00fd v\u00e0 hi\u1ec3u gi\u1ecdng n\u00f3i (Alexa, Siri, and Google Now), h\u00ecnh \u1ea3nh (computer vision), v\u0103n b\u1ea3n. AI r\u1ed9ng v\u00e0 bao tr\u00f9m t\u1ea5t c\u1ea3. N\u1ebfu b\u1ea1n \u0111ang l\u00e0m ph\u00e2n t\u00edch d\u1eef li\u1ec7u, b\u1ea1n l\u00e0 m\u1ed9t ph\u1ea7n c\u1ee7a phong tr\u00e0o AI.<\/p>\n\n\n\n

V\u00ed d\u1ee5: AI b\u1eaft \u0111\u1ea7u t\u1eeb nh\u1eefng n\u0103m 50 v\u00e0 \u0111\u1ea1t s\u1ef1 c\u00f4ng nh\u1eadn tr\u00ean to\u00e0n th\u1ebf gi\u1edbi v\u1edbi Deep Blue<\/a> c\u1ee7a IBM. Deep Blue l\u00e0 m\u1ed9t tr\u00f2 ch\u01a1i c\u1edd vua \u0111\u00e3 \u0111\u00e1nh b\u1ea1i nh\u00e0 v\u00f4 \u0111\u1ecbch c\u1edd vua \u0111ang l\u00e0 \u0111\u01b0\u01a1ng kim v\u00f4 \u0111\u1ecbch Garry Kasparov m\u1ed9t c\u00e1ch d\u1ec5 d\u00e0ng. T\u1eeb \u0111\u00f3, IBM \u0111\u00e3 t\u1ea1o ra Watson<\/a> \u0111\u00e1nh b\u1ea1i con ng\u01b0\u1eddi trong Jeopardy, and Google \u0111\u00e3 t\u1ea1o ra DeepMind \u0111\u00e1nh b\u1ea1i con ng\u01b0\u1eddi trong c\u1edd v\u00e2y <\/a>(defeat humans in Go<\/a>), m\u1ed9t tr\u00f2 ch\u01a1i c\u1edd vua c\u1ed5 \u0111\u1ea1i c\u1ee7a Trung Qu\u1ed1c<\/p>\n\n\n\n

Machine Learning – M\u00e1y t\u00ednh \u0111i h\u1ecdc<\/strong><\/p>\n\n\n\n

Gi\u1ea3i th\u00edch trong 3 n\u1ed1t nh\u1ea1c: Machine Learning l\u00e0 cho ph\u00e9p m\u00e1y “h\u1ecdc” b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00e1c ph\u01b0\u01a1ng ph\u00e1p th\u1ed1ng k\u00ea.<\/p>\n\n\n\n

Ph\u1ea7n l\u1edbn AI l\u00e0 machine learning. L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 m\u00e1y h\u1ecdc? \u0110\u1ea7u ti\u00ean, m\u00e1y \u0111\u01b0\u1ee3c cung c\u1ea5p d\u1eef li\u1ec7u, m\u00e1y s\u1ebd t\u1ea1o ra m\u1ed9t thu\u1eadt to\u00e1n ho\u1eb7c m\u1ed9t c\u00e1ch \u0111\u1ec3 li\u00ean k\u1ebft gi\u1eefa c\u00e1c \u0111\u1ea7u v\u00e0o v\u00e0 \u0111\u1ea7u ra mong mu\u1ed1n. Sau \u0111\u00f3, m\u00e1y s\u1ebd ki\u1ec3m tra \u0111\u1ec3 xem thu\u1eadt to\u00e1n ho\u1ea1t \u0111\u1ed9ng t\u1ed1t nh\u01b0 th\u1ebf n\u00e0o, ph\u01b0\u01a1ng ph\u00e1p l\u1eb7p l\u1ea1i cho \u0111\u1ebfn khi thu\u1eadt to\u00e1n th\u1ef1c hi\u1ec7n th\u1ecfa m\u00e3n.<\/p>\n\n\n\n

V\u00ed d\u1ee5: <\/a>Th\u1eed th\u00e1ch mang \u0111\u1ebfn gi\u1ea3i th\u01b0\u1edfng h\u00e0ng tri\u1ec7u \u0111\u00f4 c\u1ee7a Netflix (Netflix’s million prize<\/a>) \u0111\u00e1nh d\u1ea5u s\u1ef1 b\u1eaft \u0111\u1ea7u ph\u1ed5 bi\u1ebfn c\u1ee7a Machine Learning. Trong gi\u1ea3i th\u01b0\u1edfng Netflix, c\u00e1c \u0111\u1ed9i c\u1ea1nh tranh \u0111\u1ec3 t\u1ea1o ra c\u00e1ch gi\u1edbi thi\u1ec7u c\u00e1c b\u1ed9 phim ph\u00f9 h\u1ee3p cho ng\u01b0\u1eddi d\u00f9ng c\u1ee7a n\u00f3. Machine Learning c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 ph\u00ea duy\u1ec7t kho\u1ea3n vay.<\/p>\n\n\n\n

Deep Learning – H\u1ecdc s\u00e2u<\/strong><\/p>\n\n\n\n

Gi\u1ea3i th\u00edch trong 3 n\u1ed1t nh\u1ea1c: Deep Learning \u0111ang t\u1ea1o ra m\u1ed9t c\u1ed7 m\u00e1y b\u1eaft ch\u01b0\u1edbc ho\u1ea1t \u0111\u1ed9ng c\u1ee7a b\u1ed9 n\u00e3o ch\u00fang ta.<\/p>\n\n\n\n

Deep Learning c\u00f3 ngu\u1ed3n g\u1ed1c t\u1eeb m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh nh\u00e2n t\u1ea1o. M\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh l\u00e0 m\u1ed9t kh\u00e1i ni\u1ec7m v\u1ec1 b\u1ed9 n\u00e3o v\u00e0 m\u1ea1ng l\u01b0\u1edbi c\u00e1c t\u1ebf b\u00e0o th\u1ea7n kinh c\u1ee7a n\u00f3 (\u0111\u00f3 l\u00e0 s\u1ef1 h\u00ecnh th\u00e0nh b\u1ed9 n\u00e3o c\u1ee7a ch\u00fang ta). M\u1ea1ng k\u1ebft n\u1ed1i c\u00e1c t\u1ebf b\u00e0o th\u1ea7n kinh v\u00e0 ho\u1ea1t \u0111\u1ed9ng theo c\u00e1ch “b\u00ed \u1ea9n” \u0111\u1ec3 hi\u1ec3u th\u00f4ng tin v\u00e0 gi\u1ea3i th\u00edch ch\u00fang cho ph\u00f9 h\u1ee3p.<\/p>\n\n\n\n

V\u00ed d\u1ee5: M\u1ed9t b\u00e0i n\u00f3i chuy\u1ec7n tr\u00ean TED c\u1ee7a Fei Fei Li (TED talk<\/a>) n\u00f3i v\u1ec1 c\u00e1ch m\u1ea1ng n\u01a1-ron t\u00edch t\u1ee5, m\u1ed9t lo\u1ea1i deep learning, \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 th\u1ef1c hi\u1ec7n nh\u1eadn d\u1ea1ng h\u00ecnh \u1ea3nh.<\/p>\n\n\n\n

K\u1ebeT B\u00c0I<\/strong><\/h4>\n\n\n\n

C\u00e1c thu\u1eadt ng\u1eef n\u00e0y r\u1ea5t gi\u1ed1ng nhau, v\u00ec v\u1eady m\u1ed9t v\u1ea5n \u0111\u1ec1 hay m\u1ed9t gi\u1ea3i ph\u00e1p c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i d\u01b0\u1edbi m\u1ed9t ho\u1eb7c d\u01b0\u1edbi t\u1ea5t c\u1ea3 c\u00e1c thu\u1eadt ng\u1eef n\u00e0y. V\u00ed d\u1ee5, c\u00f4ng ngh\u1ec7 xe h\u01a1i t\u1ef1 l\u00e1i c\u1ee7a Tesla c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i AI, Deep Learning, v\u00e0 Machine Learning c\u00f9ng m\u1ed9t l\u00fac (tuy nhi\u00ean, kh\u00f4ng qu\u00e1 nhi\u1ec1u v\u1ec1 Data Mining!).<\/p>\n\n\n\n

Th\u1eadt ra th\u00ec ai l\u00e0m v\u1ec1 d\u1eef li\u1ec7u c\u0169ng r\u1ea5t th\u00edch m\u00ecnh \u0111\u01b0\u1ee3c vinh danh l\u00e0 l\u00e0m v\u1ec1 AI, nh\u01b0ng kh\u00f4ng ph\u1ea3i ai c\u0169ng th\u1eadt s\u1ef1 l\u00e0m v\u1ec1 AI. V\u1eady c\u00f2n nh\u1eefng ng\u00e0nh ngh\u1ec1 li\u00ean quan gi\u1ed1ng nh\u01b0 l\u00e0 Data analysis, Data analytics (ph\u00e2n t\u00edch d\u1eef li\u1ec7u), Data Engineer (K\u1ef9 s\u01b0 d\u1eef li\u1ec7u), Business Analytics (Ph\u00e2n t\u00edch d\u1eef li\u1ec7u trong kinh doanh), th\u1eadm ch\u00ed l\u00e0 Data Science (Khoa h\u1ecdc d\u1eef li\u1ec7u) th\u00ec n\u1eb1m \u1edf \u0111\u00e2u? C\u00e1c b\u1ea1n h\u00e3y tham gia webinar \u0111\u1ec3 bi\u1ebft th\u00eam chi ti\u1ebft nh\u00e9.<\/p>\n\n\n\n

Th\u1eddi gian: 9am \u2013 11:30am ng\u00e0y Ch\u1ee7 Nh\u1eadt, 20\/02\/2022 (gi\u1edd Vi\u1ec7t Nam)<\/p>\n\n\n\n

Test<\/p>\n\n\n\n

Link \u0111\u0103ng k\u00fd: https:\/\/gmartek.com\/digiforce\/webinar-1\/<\/a><\/p>\n\n\n\n

\u0110\u00e2y l\u00e0 ho\u1ea1t \u0111\u1ed9ng khai tr\u01b0\u01a1ng d\u1ef1 \u00e1n digiforce, d\u1ef1 \u00e1n x\u00e2y d\u1ef1ng c\u1ed9ng \u0111\u1ed3ng chia s\u1ebb th\u00f4ng tin v\u1ec1 nh\u1eefng ngh\u1ec1 nghi\u1ec7p digital.<\/p>\n\n\n\n

M\u00ecnh nh\u1edd c\u00e1c b\u1ea1n h\u00e3y chia s\u1ebb webinar n\u00e0y \u0111\u1ebfn th\u1eadt nhi\u1ec1u ng\u01b0\u1eddi nh\u00e9. Xin c\u00e1m \u01a1n c\u00e1c b\u1ea1n!<\/p>\n\n\n\n

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

\u0110\u00e2y l\u00e0 b\u00e0i ra m\u1eaft c\u1ee7a gi\u00e1o s\u01b0 Ace V\u00f5, di\u1ec5n gi\u1ea3 \u0111\u1ea7u ti\u00ean trong 5 di\u1ec5n gi\u1ea3 c\u1ee7a webinar “Paths to digital careers”. Ace hi\u1ec7n nay l\u00e0 gi\u00e1o s\u01b0 ng\u00e0nh Business Analytics c\u1ee7a \u0110\u1ea1i H\u1ecdc Loyola Marymount \u1edf Los Angeles, Hoa K\u1ef3. B\u00e0i nguy\u00ean g\u1ed1c b\u1eb1ng ti\u1ebfng Anh. B\u1ea3n ti\u1ebfng Vi\u1ec7t do c\u00e1c b\u1ea1n… Continue reading Data Mining, Machine Learning, Artificial Intelligence and Deep Learning<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[5],"tags":[6],"class_list":["post-452","post","type-post","status-publish","format-standard","hentry","category-careerpaths","tag-careerpaths","entry"],"yoast_head":"\nData Mining, Machine Learning, Artificial Intelligence and Deep Learning - digiforce<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/gmartek.com\/digiforce\/data-mining-machine-learning-artificial-intelligence-and-deep-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Mining, Machine Learning, Artificial Intelligence and Deep Learning - digiforce\" \/>\n<meta property=\"og:description\" content=\"\u0110\u00e2y l\u00e0 b\u00e0i ra m\u1eaft c\u1ee7a gi\u00e1o s\u01b0 Ace V\u00f5, di\u1ec5n gi\u1ea3 \u0111\u1ea7u ti\u00ean trong 5 di\u1ec5n gi\u1ea3 c\u1ee7a webinar “Paths to digital careers”. 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