{"id":85,"date":"2020-12-06T10:29:10","date_gmt":"2020-12-06T10:29:10","guid":{"rendered":"https:\/\/datasciencebasic.com\/?p=85"},"modified":"2021-03-07T10:39:03","modified_gmt":"2021-03-07T10:39:03","slug":"gioi-thieu-ve-kaggle","status":"publish","type":"post","link":"https:\/\/datasciencebasic.com\/?p=85","title":{"rendered":"Gi\u1edbi thi\u1ec7u v\u1ec1 Kaggle"},"content":{"rendered":"\n

H\u1ecdc khoa h\u1ecdc d\u1eef li\u1ec7u v\u1edbi ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u c\u00f3 v\u1ebb nh\u01b0 l\u00e0 m\u1ed9t vi\u1ec7c qu\u00e1 s\u1ee9c. \u1ede \u0111\u00e2u t\u00f4i c\u00f3 th\u1ec3 t\u00ecm \u0111\u01b0\u1ee3c c\u00e1c code m\u1eabu, d\u1eef li\u1ec7u, \u00fd t\u01b0\u1edfng, v\u00e0 th\u1ef1c h\u00e0nh c\u00e1c k\u1ef9 n\u0103ng c\u1ee7a m\u00ecnh? C\u00f3 m\u1ed9t n\u01a1i m\u00e0 b\u1ea1n c\u00f3 th\u1ec3 t\u00ecm th\u1ea5y t\u1ea5t c\u1ea3 nh\u1eefng \u0111i\u1ec1u tr\u00ean, \u0111\u00f3 ch\u00ednh l\u00e0 Kaggle. T\u1ea1i \u0111\u00e2y c\u00f3 h\u00e0ng tr\u0103m, th\u1eadm ch\u00ed h\u00e0ng ngh\u00ecn nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u \u0111ang tham gia c\u00e1c th\u1eed th\u00e1ch kh\u00e1c nhau, c\u1ed1 g\u1eafng c\u1ea3i thi\u1ec7n m\u00f4 h\u00ecnh v\u00e0 g\u1eedi \u0111i\u1ec3m s\u1ed1 c\u1ee7a h\u1ecd \u0111\u1ec3 c\u1ea1nh tranh c\u00e1c th\u1ee9 h\u1ea1ng cao nh\u1ea5t. B\u1ea1n \u0111\u1eebng v\u1ed9i n\u1ea3n l\u00f2ng, \u0111\u00e2y kh\u00f4ng ch\u1ec9 l\u00e0 n\u01a1i x\u1ebfp h\u1ea1ng c\u00e1c k\u1ef9 n\u0103ng c\u1ee7a b\u1ea1n, m\u00e0 c\u00f2n l\u00e0 n\u01a1i b\u1ea1n c\u00f3 th\u1ec3 xem v\u00e0 h\u1ecdc h\u1ecfi t\u1eeb nh\u1eefng \u0111o\u1ea1n code v\u00e0 \u00fd t\u01b0\u1edfng m\u1edbi t\u1eeb nh\u1eefng ng\u01b0\u1eddi gi\u1ecfi nh\u1ea5t. N\u1ebfu b\u1ea1n \u0111ang nghi\u00ean c\u1ee9u v\u1ec1 khoa h\u1ecdc d\u1eef li\u1ec7u, t\u00f4i ch\u1eafc ch\u1eafn b\u1ea1n s\u1ebd c\u00f2n gh\u00e9 th\u0103m trang web n\u00e0y r\u1ea5t nhi\u1ec1u l\u1ea7n.<\/p>\n\n\n\n

M\u1ee5c l\u1ee5c<\/strong><\/p>\n\n\n\n

Kaggle l\u00e0 g\u00ec<\/em><\/strong><\/p>\n\n\n\n

Nh\u1eefng l\u1ee3i \u00edch<\/em><\/strong><\/p>\n\n\n\n

K\u1ebft lu\u1eadn<\/em><\/strong><\/p>\n\n\n\n

Tham kh\u1ea3o<\/em><\/strong><\/p>\n\n\n\n

Kaggle l\u00e0 g\u00ec?<\/strong><\/p>\n\n\n\n

Kaggle l\u00e0 g\u00ec? Kaggle (www.kaggle.com<\/a>) l\u00e0 m\u1ed9t trang web \u0111\u1ec3 chia s\u1ebb \u00fd t\u01b0\u1edfng, t\u00ecm c\u1ea3m h\u1ee9ng, tham gia c\u00e1c cu\u1ed9c thi c\u00f9ng v\u1edbi c\u00e1c nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u kh\u00e1c, h\u1ecdc h\u1ecfi th\u00f4ng tin m\u1edbi v\u00e0 th\u1ee7 thu\u1eadt code, c\u0169ng nh\u01b0 xem c\u00e1c v\u00ed d\u1ee5 kh\u00e1c nhau v\u1ec1 c\u00e1c \u1ee9ng d\u1ee5ng khoa h\u1ecdc d\u1eef li\u1ec7u trong th\u1ebf gi\u1edbi th\u1ef1c. C\u00f3 r\u1ea5t nhi\u1ec1u b\u1ed9 d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c chia s\u1ebb, t\u1eeb \u0111\u01a1n gi\u1ea3n nh\u01b0 b\u00e1n tr\u00f2 ch\u01a1i \u0111i\u1ec7n t\u1eed, cho \u0111\u1ebfn nh\u1eefng th\u1ee9 ph\u1ee9c t\u1ea1p v\u00e0 quan tr\u1ecdng h\u01a1n nh\u01b0 d\u1eef li\u1ec7u \u00f4 nhi\u1ec5m kh\u00f4ng kh\u00ed. D\u1eef li\u1ec7u n\u00e0y l\u00e0 d\u1eef li\u1ec7u th\u1ef1c v\u00e0 \u0111\u01b0\u1ee3c d\u1eabn ngu\u1ed3n, v\u00ec v\u1eady b\u1ea1n c\u00f3 th\u1ec3 \u0111\u00e0o t\u1ea1o v\u00e0 th\u1eed nghi\u1ec7m c\u00e1c m\u00f4 h\u00ecnh c\u1ee7a m\u00ecnh tr\u00ean c\u00e1c d\u1ef1 \u00e1n c\u00f3 \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf.<\/p>\n\n\n\n

C\u00f3 r\u1ea5t nhi\u1ec1u t\u00ednh n\u0103ng h\u1eefu \u00edch kh\u00e1c c\u1ee7a Kaggle nh\u01b0 d\u1eef li\u1ec7u, code, c\u1ed9ng \u0111\u1ed3ng, c\u1ea3m h\u1ee9ng, c\u00e1c cu\u1ed9c thi v\u00e0 kh\u00f3a h\u1ecdc. T\u00f4i s\u1ebd tr\u00ecnh b\u00e0y chi ti\u1ebft nh\u1eefng l\u1ee3i \u00edch n\u00e0y d\u01b0\u1edbi \u0111\u00e2y \u0111\u1ec3 b\u1ea1n t\u1ef1 t\u00ecm cho m\u00ecnh m\u1ed9t s\u1ed1 c\u00e1ch s\u1eed d\u1ee5ng Kaggle.<\/p>\n\n\n\n

Nh\u1eefng l\u1ee3i \u00edch<\/strong><\/p>\n\n\n\n

D\u01b0\u1edbi \u0111\u00e2y l\u00e0 m\u1ed9t s\u1ed1 l\u1ee3i \u00edch c\u1ee7a Kaggle, \u0111\u00f3 l\u00e0 l\u00fd do nh\u1eefng ng\u01b0\u1eddi nghi\u00ean c\u1ee9u khoa h\u1ecdc d\u1eef li\u1ec7u s\u1eed d\u1ee5ng trang web n\u00e0y v\u00e0 b\u1ea1n c\u0169ng n\u00ean nh\u01b0 v\u1eady.<\/p>\n\n\n\n

D\u1eef li\u1ec7u<\/em><\/strong><\/p>\n\n\n\n

C\u00f3 r\u1ea5t nhi\u1ec1u b\u1ed9 d\u1eef li\u1ec7u b\u1ea1n c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng tr\u00ean Kaggle. L\u1ef1a ch\u1ecdn menu Datasets, b\u1ea1n c\u00f3 th\u1ec3 xem danh s\u00e1ch c\u00e1c t\u1eadp d\u1eef li\u1ec7u, c\u0169ng nh\u01b0 t\u00ecm ki\u1ebfm theo t\u00ean c\u00e1c t\u1eadp d\u1eef li\u1ec7u c\u1ee5 th\u1ec3 \u0111\u1ec3 s\u1eed d\u1ee5ng trong m\u00f4 h\u00ecnh khoa h\u1ecdc d\u1eef li\u1ec7u c\u1ee7a b\u1ea1n. H\u1ea7u h\u1ebft c\u00e1c t\u1eadp d\u1eef li\u1ec7u \u0111\u1ec1u \u1edf \u0111\u1ecbnh d\u1ea1ng t\u1ec7p .csv. \u00cdt ph\u1ed5 bi\u1ebfn h\u01a1n, nh\u01b0ng v\u1eabn h\u1eefu \u00edch, l\u00e0 c\u00e1c t\u1eadp d\u1eef li\u1ec7u \u1edf \u0111\u1ecbnh d\u1ea1ng JSON, SQLite, archives v\u00e0 BigQuery. Th\u1ef1c h\u00e0nh v\u1edbi c\u00e1c \u0111\u1ecbnh d\u1ea1ng file d\u1eef li\u1ec7u kh\u00e1c nhau s\u1ebd kh\u00e1 h\u1eefu \u00edch cho c\u00f4ng vi\u1ec7c khoa h\u1ecdc d\u1eef li\u1ec7u trong t\u01b0\u01a1ng lai c\u1ee7a b\u1ea1n. M\u1ed9t s\u1ed1 v\u00ed d\u1ee5 v\u1ec1 c\u00e1c b\u1ed9 d\u1eef li\u1ec7u ‘hot nh\u1ea5t’ hi\u1ec7n nay<\/p>\n\n\n\n

– Phim v\u00e0 ch\u01b0\u01a1ng tr\u00ecnh Netflix<\/p>\n\n\n\n

– Ti\u1ebfn tr\u00ecnh ti\u00eam v\u1eafc xin Covid-19 tr\u00ean to\u00e0n c\u1ea7u<\/p>\n\n\n\n

– Th\u1ed1ng k\u00ea v\u1ec1 c\u00e1c Trending video tr\u00ean Youtube<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Ngu\u1ed3n: www.kaggle.com\/datasets<\/a><\/p>\n\n\n\n

Code<\/em><\/strong><\/p>\n\n\n\n

Code tr\u00ean Kaggle r\u1ea5t phong ph\u00fa. Trong ph\u1ea7n Code, b\u1ea1n c\u00f3 th\u1ec3 xem r\u1ea5t nhi\u1ec1u Notebooks c\u00f3 ch\u1ee9a c\u00e1c \u0111o\u1ea1n code c\u0169ng nh\u01b0 ph\u1ea7n text m\u00e0 nh\u1eefng ng\u01b0\u1eddi dung Kaggle kh\u00e1c th\u00eam v\u00e0o \u0111\u1ec3 gi\u1ea3i th\u00edch code c\u1ee7a h\u1ecd. \u0110\u00f3 l\u00e0 c\u00e1ch tuy\u1ec7t v\u1eddi \u0111\u1ec3 h\u1ecdc, th\u1ef1c h\u00e0nh v\u00e0 xem nh\u1eefng ng\u01b0\u1eddi kh\u00e1c gi\u1ea3i quy\u1ebft c\u00e1c v\u1ea5n \u0111\u1ec1 t\u01b0\u01a1ng t\u1ef1 nh\u01b0 th\u1ebf n\u00e0o. H\u1ea7u h\u1ebft m\u1ecdi ng\u01b0\u1eddi \u0111\u1ec1u vi\u1ebft m\u00e3 b\u1eb1ng Python, nh\u01b0ng c\u00f3 nh\u1eefng ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh kh\u00e1c nh\u01b0 R, SQLite v\u00e0 Julia.<\/p>\n\n\n\n

C\u00e1c \u0111o\u1ea1n code th\u01b0\u1eddng \u0111\u01b0\u1ee3c l\u01b0u d\u01b0\u1edbi d\u1ea1ng notebook, hay Jupyter notebook, \u1edf \u0111\u1ecbnh d\u1ea1ng t\u1ec7p .ipynb. B\u1ea1n s\u1ebd t\u00ecm th\u1ea5y nh\u1eefng v\u00ed d\u1ee5 th\u1ec3 hi\u1ec7n qu\u00e1 tr\u00ecnh x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y ho\u00e0n thi\u1ec7n t\u1eeb \u0111\u1ea7u t\u1edbi cu\u1ed1i. M\u1ed9t s\u1ed1 bao g\u1ed3m, nh\u1eadp v\u00e0 l\u00e0m s\u1ea1ch d\u1eef li\u1ec7u, ph\u00e2n t\u00edch gi\u1ea3i th\u00edch d\u1eef li\u1ec7u, chuy\u1ec3n \u0111\u1ed5i t\u1eadp d\u1eef li\u1ec7u th\u00e0nh c\u00e1c thu\u1ed9c t\u00ednh (feature engineering), t\u1ea1o m\u00f4 h\u00ecnh \u0111\u1ec3 training, tri\u1ec3n khai m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y cu\u1ed1i c\u00f9ng, \u0111\u1ea7u ra v\u00e0 gi\u1ea3i th\u00edch k\u1ebft qu\u1ea3. Quy tr\u00ecnh n\u00e0y c\u0169ng l\u00e0 quy tr\u00ecnh h\u1ea7u h\u1ebft c\u00e1c nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u s\u1ebd s\u1eed d\u1ee5ng trong th\u1ef1c t\u1ebf.<\/p>\n\n\n\n

C\u1ed9ng \u0111\u1ed3ng<\/em><\/strong><\/p>\n\n\n\n

C\u0169ng gi\u1ed1ng nh\u01b0 Medium, GitHub, Stack Overflow v\u00e0 LinkedIn, Kaggle \u0111\u00f3ng vai tr\u00f2 nh\u01b0 m\u1ed9t c\u1ed9ng \u0111\u1ed3ng n\u01a1i c\u00e1c nh\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u, nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 k\u1ef9 s\u01b0 h\u1ecdc m\u00e1y c\u00f3 th\u1ec3 h\u1ecdc h\u1ecfi, ph\u00e1t tri\u1ec3n v\u00e0 k\u1ebft n\u1ed1i. B\u1ea1n c\u00f3 th\u1ec3 \u0111\u0103ng c\u00f4ng vi\u1ec7c c\u1ee7a m\u00ecnh (d\u1eef li\u1ec7u, code v\u00e0 notebook), v\u00e0 ch\u00fang s\u1ebd \u0111\u01b0\u1ee3c chia s\u1ebb \u0111\u1ec3 x\u00e2y d\u1ef1ng c\u1ed9ng \u0111\u1ed3ng c\u1ee7a ri\u00eang b\u1ea1n. B\u1ea1n s\u1ebd thu \u0111\u01b0\u1ee3c nhi\u1ec1u l\u1ee3i \u00edch t\u1eeb vi\u1ec7c k\u1ebft n\u1ed1i v\u1edbi c\u00e1c nh\u00f3m c\u1ed9ng \u0111\u1ed3ng kh\u00e1c nhau, v\u00ec v\u1eady h\u00e3y b\u1eaft \u0111\u1ea7u s\u1eed d\u1ee5ng Kaggle \u0111\u1ec3 ph\u00e1t tri\u1ec3n c\u1ed9ng \u0111\u1ed3ng c\u1ee7a ri\u00eang b\u1ea1n v\u00e0 ti\u1ebfp c\u1eadn v\u1edbi c\u00e1c c\u1ed9ng \u0111\u1ed3ng kh\u00e1c.<\/p>\n\n\n\n

C\u00e1c cu\u1ed9c thi<\/em><\/strong><\/p>\n\n\n\n

N\u1ebfu b\u1ea1n mu\u1ed1n th\u1eed th\u00e1ch b\u1ea3n th\u00e2n, ki\u1ec3m tra xem b\u1ea1n x\u1ebfp h\u1ea1ng nh\u01b0 th\u1ebf n\u00e0o trong s\u1ed1 c\u00e1c nh\u1eefng ng\u01b0\u1eddi l\u00e0m khoa h\u1ecdc d\u1eef li\u1ec7u, l\u00e0m \u0111\u1eb9p CV, ki\u1ebfm th\u00eam ti\u1ec1n, hay quan tr\u1ecdng nh\u1ea5t, gi\u00fap \u0111\u1ee1 m\u1ecdi ng\u01b0\u1eddi, h\u00e3y tham gia c\u00e1c cu\u1ed9c thi (competition). Kaggle cung c\u1ea5p v\u00f4 s\u1ed1 cu\u1ed9c thi \u0111\u1ec3 b\u1ea1n c\u00f3 th\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c t\u1ea5t c\u1ea3 c\u00e1c l\u1ee3i \u00edch n\u00f3i tr\u00ean. H\u00e3y xem nh\u1eefng cu\u1ed9c thi h\u00e0ng \u0111\u1ea7u v\u00e0 s\u1ed1 ti\u1ec1n th\u01b0\u1edfng trong h\u00ecnh d\u01b0\u1edbi \u0111\u00e2y. B\u1ea1n th\u1ea5y \u0111\u1ea5y, \u0111\u00e2y kh\u00f4ng ch\u1ec9 \u0111\u01a1n thu\u1ea7n l\u00e0 nh\u1eefng cu\u1ed9c c\u1ea1nh tranh m\u00e0 c\u00f2n v\u00ec l\u1ee3i \u00edch l\u1edbn h\u01a1n nh\u01b0 l\u00e0 \u0111\u00f3ng g\u00f3p cho l\u0129nh v\u1ef1c y t\u1ebf.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Ngu\u1ed3n: www.kaggle.com\/competitions<\/a><\/p>\n\n\n\n

C\u00e1c kh\u00f3a h\u1ecdc<\/em><\/strong><\/p>\n\n\n\n

M\u1ed9t \u0111i\u1ec1u kh\u00e1 th\u00fa v\u1ecb l\u00e0 Kaggle c\u00f2n cung c\u1ea5p c\u00e1c kh\u00f3a h\u1ecdc v\u1ec1 khoa h\u1ecdc d\u1eef li\u1ec7u. C\u00f3 kho\u1ea3ng 15 kh\u00f3a h\u1ecdc b\u1ea1n c\u00f3 th\u1ec3 tham gia v\u00e0 ch\u00fang \u0111\u01b0\u1ee3c li\u1ec7t k\u00ea b\u00ean d\u01b0\u1edbi. Kh\u00f4ng ch\u1ec9 Python, b\u1ea1n s\u1ebd t\u00ecm th\u1ea5y c\u1ea3 c\u00e1c kh\u00f3a h\u1ecdc v\u1ec1 SQL v\u00e0 nhi\u1ec1u kh\u00f3a h\u1ecdc th\u00fa v\u1ecb kh\u00e1c. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 t\u1ea5t c\u1ea3 c\u00e1c kh\u00f3a h\u1ecdc b\u1ea1n c\u00f3 th\u1ec3 t\u00ecm th\u1ea5y tr\u00ean Kaggle:<\/p>\n\n\n\n

Python<\/p>\n\n\n\n

Intro to Machine Learning<\/p>\n\n\n\n

Intermediate Machine Learning<\/p>\n\n\n\n

Data Visualization<\/p>\n\n\n\n

Pandas<\/p>\n\n\n\n

Feature Engineering<\/p>\n\n\n\n

Deep Learning<\/p>\n\n\n\n

Intro to SQL<\/p>\n\n\n\n

Advanced SQL<\/p>\n\n\n\n

Geospatial Analysis<\/p>\n\n\n\n

Microchallenges<\/p>\n\n\n\n

Machine Learning Explainability<\/p>\n\n\n\n

Natural Language Processing<\/p>\n\n\n\n

Intro to Game AI and Reinforcement Learning<\/p>\n\n\n\n

Feature Engineering<\/p>\n\n\n\n

Ngu\u1ed3n: www.kaggle.com\/learn\/overview<\/a><\/p>\n\n\n\n

Truy\u1ec1n c\u1ea3m h\u1ee9ng<\/em><\/strong><\/p>\n\n\n\n

C\u00e1c d\u1eef li\u1ec7u, code, c\u1ed9ng \u0111\u1ed3ng, kh\u00f3a h\u1ecdc v\u00e0 cu\u1ed9c thi s\u1ebd truy\u1ec1n nhi\u1ec1u c\u1ea3m h\u1ee9ng cho b\u1ea1n. Nh\u00ecn th\u1ea5y nh\u1eefng ng\u01b0\u1eddi kh\u00e1c th\u1ec3 hi\u1ec7n t\u1ed1t trong m\u1ed9t cu\u1ed9c thi gi\u00fap \u00edch cho c\u1ed9ng \u0111\u1ed3ng ho\u1eb7c c\u00f4ng ty s\u1ebd mang l\u1ea1i ngu\u1ed3n c\u1ea3m h\u1ee9ng l\u1edbn. N\u1ebfu b\u1ea1n \u0111ang b\u1ebf t\u1eafc v\u1ec1 nh\u1eefng g\u00ec c\u1ea7n h\u1ecdc ti\u1ebfp theo ho\u1eb7c c\u00e1ch th\u1ef1c hi\u1ec7n m\u1ed9t thu\u1eadt to\u00e1n n\u00e0o \u0111\u00f3, c\u00f3 l\u1ebd h\u00e3y xem c\u00e1ch ai \u0111\u00f3 tri\u1ec3n khai m\u1ed9t m\u00f4 h\u00ecnh nh\u1ea5t \u0111\u1ecbnh, b\u1ea1n c\u00f3 th\u1ec3 c\u00f3 nh\u1eefng \u00fd t\u01b0\u1edfng m\u1edbi, truy\u1ec1n c\u1ea3m h\u1ee9ng cho b\u1ea1n s\u00e1ng t\u1ea1o c\u00f4ng vi\u1ec7c t\u1ed1t h\u01a1n.<\/p>\n\n\n\n

K\u1ebft lu\u1eadn<\/strong><\/p>\n\n\n\n

Kaggle cung c\u1ea5p nhi\u1ec1u t\u00e0i nguy\u00ean cho c\u00e1c nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u h\u00e0ng \u0111\u1ea7u. B\u1ea1n c\u00f3 th\u1ec3 t\u00ecm th\u1ea5y: d\u1eef li\u1ec7u, code, c\u1ed9ng \u0111\u1ed3ng, c\u00e1c cu\u1ed9c thi, c\u00e1c kh\u00f3a h\u1ecdc v\u00e0 nhi\u1ec1u \u0111i\u1ec1u kh\u00e1c n\u1eefa.<\/p>\n\n\n\n

T\u00f4i hy v\u1ecdng b\u1ea1n th\u1ea5y b\u00e0i vi\u1ebft n\u00e0y th\u00fa v\u1ecb v\u00e0 h\u1eefu \u00edch! H\u00e3y \u0111\u0103ng k\u00fd t\u00e0i kho\u1ea3n Kaggle v\u00e0 kh\u00e1m ph\u00e1 th\u00eam nh\u00e9!<\/p>\n\n\n\n

Tham kh\u1ea3o<\/strong><\/p>\n\n\n\n

Kaggle Inc., www.kaggle.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

H\u1ecdc khoa h\u1ecdc d\u1eef li\u1ec7u v\u1edbi ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u c\u00f3 v\u1ebb nh\u01b0 l\u00e0 m\u1ed9t vi\u1ec7c qu\u00e1 s\u1ee9c. \u1ede \u0111\u00e2u […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-85","post","type-post","status-publish","format-standard","hentry","category-phan-mem-cong-cu"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/datasciencebasic.com\/index.php?rest_route=\/wp\/v2\/posts\/85","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datasciencebasic.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datasciencebasic.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datasciencebasic.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/datasciencebasic.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=85"}],"version-history":[{"count":3,"href":"https:\/\/datasciencebasic.com\/index.php?rest_route=\/wp\/v2\/posts\/85\/revisions"}],"predecessor-version":[{"id":91,"href":"https:\/\/datasciencebasic.com\/index.php?rest_route=\/wp\/v2\/posts\/85\/revisions\/91"}],"wp:attachment":[{"href":"https:\/\/datasciencebasic.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=85"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datasciencebasic.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=85"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datasciencebasic.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=85"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}