{"id":18186,"date":"2023-11-03T08:13:01","date_gmt":"2023-11-03T01:13:01","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=18186"},"modified":"2023-11-03T08:27:22","modified_gmt":"2023-11-03T01:27:22","slug":"scikit-learn-mot-thu-vien-quan-trong-cho-ngon-ngu-lap-trinh-python","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/scikit-learn-mot-thu-vien-quan-trong-cho-ngon-ngu-lap-trinh-python-p18186\/","title":{"rendered":"Scikit-learn m\u1ed9t th\u01b0 vi\u1ec7n quan tr\u1ecdng cho ML tr\u00ean ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh Python"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><p>L\u00e0 th\u01b0 vi\u1ec7n h\u1ecdc m\u00e1y (ML) d\u00e0nh cho ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh\u00a0<a href=\"https:\/\/www.python.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">Python<\/a>, Scikit-learn c\u00f3 s\u1ed1 l\u01b0\u1ee3ng l\u1edbn thu\u1eadt to\u00e1n m\u00e0 c\u00e1c l\u1eadp tr\u00ecnh vi\u00ean v\u00e0 nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u c\u00f3 th\u1ec3 d\u1ec5 d\u00e0ng tri\u1ec3n khai trong c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y.<\/p>\n<h2>Scikit-learn l\u00e0 g\u00ec?<\/h2>\n<p>Scikit-learn l\u00e0 m\u1ed9t th\u01b0 vi\u1ec7n h\u1ecdc m\u00e1y ph\u1ed5 bi\u1ebfn v\u00e0 m\u1ea1nh m\u1ebd, h\u1ed7 tr\u1ee3 nhi\u1ec1u lo\u1ea1i thu\u1eadt to\u00e1n c\u0169ng nh\u01b0 c\u00e1c c\u00f4ng c\u1ee5 \u0111\u1ec3 tr\u1ef1c quan h\u00f3a Machine Learning, ti\u1ec1n x\u1eed l\u00fd, \u0111i\u1ec1u ch\u1ec9nh, l\u1ef1a ch\u1ecdn v\u00e0 \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh.<\/p>\n<p>D\u1ef1a tr\u00ean NumPy, SciPy v\u00e0 Matplotlib, Scikit-learn c\u00f3 m\u1ed9t s\u1ed1 thu\u1eadt to\u00e1n hi\u1ec7u qu\u1ea3 \u0111\u1ec3 ph\u00e2n lo\u1ea1i, ph\u00e2n t\u00edch h\u1ed3i quy v\u00e0 ph\u00e2n c\u1ee5m. Bao g\u1ed3m c\u00e1c vector machines, rain forests, gradient boosting, k-means, v\u00e0 DBSCAN.<\/p>\n<p>Scikit-learn \u0111\u01b0\u1ee3c bi\u1ebft \u0111\u1ebfn v\u1edbi t\u00ednh d\u1ec5 ph\u00e1t tri\u1ec3n t\u01b0\u01a1ng \u0111\u1ed1i nh\u1edd c\u00e1c API \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf nh\u1ea5t qu\u00e1n v\u00e0 hi\u1ec7u qu\u1ea3, t\u00e0i li\u1ec7u m\u1edf r\u1ed9ng cho h\u1ea7u h\u1ebft c\u00e1c thu\u1eadt to\u00e1n v\u00e0 nhi\u1ec1u h\u01b0\u1edbng d\u1eabn online.<\/p>\r\n\t\t\t\t<div class=\"tgmcad hor\" style=\"text-align:center;margin:30px 0; padding: 10px 0; border-radius:5px; border-top:solid 1px #ccc; border-bottom:solid 1px #ccc; \">\r\n\t\t\t\t<a href=\"https:\/\/thegioimaychu.vn\/giai-phap\/deep-learning\/\"><img decoding=\"async\" alt=\"Gi\u1ea3i ph\u00e1p h\u1ea1 t\u1ea7ng Deep Learning, Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o - AI\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2019\/11\/tgmc-deep-learning.jpg\" \/><\/a>\r\n\t\t\t\t<\/div>\n<p>Hi\u1ec7n t\u1ea1i c\u00e1c phi\u00ean b\u1ea3n cho c\u00e1c n\u1ec1n t\u1ea3ng ph\u1ed5 bi\u1ebfn bao g\u1ed3m Linux, MacOS v\u00e0 Windows \u0111ang \u0111\u01b0\u1ee3c ph\u00e1t h\u00e0nh.<\/p>\n<h2 class=\"title color-black h2 uppercase\">T\u1ea1i sao l\u1ea1i l\u00e0 Scikit-learn?<\/h2>\n<p>API Scikit-learn \u0111\u00e3 tr\u1edf th\u00e0nh ti\u00eau chu\u1ea9n th\u1ef1c t\u1ebf cho vi\u1ec7c tri\u1ec3n khai h\u1ecdc m\u00e1y nh\u1edd t\u00ednh d\u1ec5 s\u1eed d\u1ee5ng, thi\u1ebft k\u1ebf ch\u1ec9nh chu v\u00e0 s\u1ef1 h\u1ed7 tr\u1ee3 \u0111\u00f4ng \u0111\u1ea3o trong c\u1ed9ng \u0111\u1ed3ng Scikit-learn.<\/p>\n<p>Scikit-learn cung c\u1ea5p c\u00e1c m\u00f4-\u0111un \u0111\u1ec3 x\u00e2y d\u1ef1ng, \u0111i\u1ec1u ch\u1ec9nh v\u00e0 \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh ML:<\/p>\n<ul>\n<li><em>Preprocessing<\/em> \u0111\u1ec1 c\u1eadp \u0111\u1ebfn c\u00e1c c\u00f4ng c\u1ee5 Scikit-learn h\u1eefu \u00edch trong vi\u1ec7c tr\u00edch xu\u1ea5t v\u00e0 chu\u1ea9n h\u00f3a features trong qu\u00e1 tr\u00ecnh ph\u00e2n t\u00edch d\u1eef li\u1ec7u.<\/li>\n<li><em>Classification<\/em> \u0111\u1ec1 c\u1eadp \u0111\u1ebfn m\u1ed9t b\u1ed9 c\u00f4ng c\u1ee5 x\u00e1c \u0111\u1ecbnh danh m\u1ee5c li\u00ean k\u1ebft v\u1edbi d\u1eef li\u1ec7u trong m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y.\u00a0V\u00ed d\u1ee5: nh\u1eefng c\u00f4ng c\u1ee5 n\u00e0y \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 ph\u00e2n lo\u1ea1i email h\u1ee3p l\u1ec7 ho\u1eb7c th\u01b0 r\u00e1c.\u00a0V\u1ec1 c\u01a1 b\u1ea3n, Classification x\u00e1c \u0111\u1ecbnh \u0111\u1ed1i t\u01b0\u1ee3ng thu\u1ed9c v\u1ec1 lo\u1ea1i n\u00e0o.<\/li>\n<li><em>Regression<\/em> (Ph\u00e2n t\u00edch h\u1ed3i quy) \u0111\u1ec1 c\u1eadp \u0111\u1ebfn vi\u1ec7c t\u1ea1o ra m\u1ed9t m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y \u0111\u1ec3 t\u00ecm hi\u1ec3u m\u1ed1i quan h\u1ec7 gi\u1eefa d\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o v\u00e0 \u0111\u1ea7u ra, ch\u1eb3ng h\u1ea1n nh\u01b0 h\u00e0nh vi ho\u1eb7c gi\u00e1 c\u1ed5 phi\u1ebfu.\u00a0H\u1ed3i quy d\u1ef1 \u0111o\u00e1n m\u1ed9t thu\u1ed9c t\u00ednh c\u00f3 gi\u00e1 tr\u1ecb li\u00ean t\u1ee5c \u0111\u01b0\u1ee3c li\u00ean k\u1ebft v\u1edbi m\u1ed9t \u0111\u1ed1i t\u01b0\u1ee3ng.<\/li>\n<li>C\u00e1c c\u00f4ng c\u1ee5 <em>Clustering<\/em> trong Scikit-learn t\u1ef1 \u0111\u1ed9ng nh\u00f3m d\u1eef li\u1ec7u c\u00f3 \u0111\u1eb7c \u0111i\u1ec3m t\u01b0\u01a1ng t\u1ef1 th\u00e0nh c\u00e1c b\u1ed9 (sets), ch\u1eb3ng h\u1ea1n nh\u01b0 d\u1eef li\u1ec7u kh\u00e1ch h\u00e0ng \u0111\u01b0\u1ee3c s\u1eafp x\u1ebfp theo b\u1ed9 d\u1ef1a tr\u00ean v\u1ecb tr\u00ed th\u1ef1c t\u1ebf.<\/li>\n<li><em>Dimensionality Reduction<\/em> l\u00e0m gi\u1ea3m s\u1ed1 l\u01b0\u1ee3ng bi\u1ebfn ng\u1eabu nhi\u00ean \u0111\u1ec3 ph\u00e2n t\u00edch.\u00a0V\u00ed d\u1ee5: \u0111\u1ec3 t\u0103ng hi\u1ec7u qu\u1ea3 tr\u1ef1c quan h\u00f3a, d\u1eef li\u1ec7u b\u00ean ngo\u00e0i c\u00f3 th\u1ec3 b\u1ecb lo\u1ea1i b\u1ecf.<\/li>\n<li><em>Model selection<\/em> \u0111\u1ec1 c\u1eadp \u0111\u1ebfn c\u00e1c thu\u1eadt to\u00e1n v\u00e0 kh\u1ea3 n\u0103ng cung c\u1ea5p c\u00e1c c\u00f4ng c\u1ee5 so s\u00e1nh, x\u00e1c th\u1ef1c v\u00e0 ch\u1ecdn tham s\u1ed1 t\u1ed1i \u01b0u \u0111\u1ec3 s\u1eed d\u1ee5ng trong c\u00e1c d\u1ef1 \u00e1n h\u1ecdc m\u00e1y khoa h\u1ecdc d\u1eef li\u1ec7u.<\/li>\n<li><em>Pipeline\u00a0<\/em>\u0111\u1ec1 c\u1eadp \u0111\u1ebfn c\u00e1c ti\u1ec7n \u00edch \u0111\u1ec3 x\u00e2y d\u1ef1ng quy tr\u00ecnh l\u00e0m vi\u1ec7c m\u00f4 h\u00ecnh.<\/li>\n<li><em>Visualization<\/em>\u00a0cho h\u1ecdc m\u00e1y cho ph\u00e9p v\u1ebd \u0111\u1ed3 th\u1ecb v\u00e0 \u0111i\u1ec1u ch\u1ec9nh tr\u1ef1c quan nhanh ch\u00f3ng.<\/li>\n<\/ul>\n<h2>Scikit-learn ho\u1ea1t \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o?<\/h2>\n<p>Scikit-learn \u0111\u01b0\u1ee3c vi\u1ebft ch\u1ee7 y\u1ebfu b\u1eb1ng Python v\u00e0 s\u1eed d\u1ee5ng NumPy cho \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh hi\u1ec7u su\u1ea5t cao c\u0169ng nh\u01b0 cho c\u00e1c ph\u00e9p t\u00ednh array.\u00a0M\u1ed9t s\u1ed1 thu\u1eadt to\u00e1n Scikit-learn c\u1ed1t l\u00f5i \u0111\u01b0\u1ee3c vi\u1ebft b\u1eb1ng\u00a0<a href=\"https:\/\/cython.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">Cython<\/a>\u00a0\u0111\u1ec3 t\u0103ng hi\u1ec7u su\u1ea5t t\u1ed5ng th\u1ec3.<\/p>\n<p>L\u00e0 m\u1ed9t th\u01b0 vi\u1ec7n c\u1ea5p cao bao g\u1ed3m m\u1ed9t s\u1ed1 tri\u1ec3n khai c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y kh\u00e1c nhau, Scikit-learn cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng x\u00e2y d\u1ef1ng, \u0111\u00e0o t\u1ea1o v\u00e0 \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh b\u1eb1ng m\u1ed9t v\u00e0i d\u00f2ng m\u00e3.<\/p>\n<p>Scikit-learn cung c\u1ea5p m\u1ed9t b\u1ed9 API c\u1ea5p cao th\u1ed1ng nh\u1ea5t \u0111\u1ec3 x\u00e2y d\u1ef1ng quy tr\u00ecnh ho\u1eb7c quy tr\u00ecnh ML.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2023\/10\/tgmc-blog-6540b99f13f72.jpg\" alt=\"\" \/><\/p>\n<p>Ng\u01b0\u1eddi d\u00f9ng s\u1eed d\u1ee5ng ML Scikit-learn Pipeline \u0111\u1ec3 truy\u1ec1n d\u1eef li\u1ec7u qua c\u00e1c transformers nh\u1eb1m tr\u00edch xu\u1ea5t c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m v\u00e0 c\u00f4ng c\u1ee5 \u01b0\u1edbc t\u00ednh \u0111\u1ec3 t\u1ea1o ra m\u00f4 h\u00ecnh, sau \u0111\u00f3 \u0111\u00e1nh gi\u00e1 c\u00e1c d\u1ef1 \u0111o\u00e1n \u0111\u1ec3 \u0111o l\u01b0\u1eddng \u0111\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a m\u00f4 h\u00ecnh.<\/p>\n<ul>\n<li>Transformer: \u0110\u00e2y l\u00e0 thu\u1eadt to\u00e1n bi\u1ebfn \u0111\u1ed5i ho\u1eb7c nh\u1eadp v\u00e0o d\u1eef li\u1ec7u \u0111\u1ec3 x\u1eed l\u00fd.<\/li>\n<li>Estimator: \u0110\u00e2y l\u00e0 thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y \u0111\u00e0o t\u1ea1o ho\u1eb7c \u0111i\u1ec1u ch\u1ec9nh d\u1eef li\u1ec7u \u0111\u1ec3 x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh, m\u00f4 h\u00ecnh n\u00e0y c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n.<\/li>\n<li>Pipeline: M\u1ed9t \u0111\u01b0\u1eddng d\u1eabn k\u1ebft n\u1ed1i c\u00e1c Transformer v\u00e0 Estimator l\u1ea1i v\u1edbi nhau \u0111\u1ec3 ch\u1ec9 \u0111\u1ecbnh quy tr\u00ecnh l\u00e0m vi\u1ec7c ML.<\/li>\n<\/ul>\n<h2>S\u1eed d\u1ee5ng GPU \u0111\u1ec3 t\u0103ng t\u1ed1c Scikit-learn APIs v\u00e0 Khoa h\u1ecdc d\u1eef li\u1ec7u \u0111\u1ea7u cu\u1ed1i<\/h2>\n<p>V\u1ec1 m\u1eb7t ki\u1ebfn \u200b\u200btr\u00fac, CPU ch\u1ec9 bao g\u1ed3m m\u1ed9t v\u00e0i cores v\u1edbi nhi\u1ec1u b\u1ed9 nh\u1edb \u0111\u1ec7m c\u00f3 th\u1ec3 x\u1eed l\u00fd m\u1ed9t s\u1ed1 threads ph\u1ea7n m\u1ec1m c\u00f9ng m\u1ed9t l\u00fac.\u00a0Ng\u01b0\u1ee3c l\u1ea1i,\u00a0<a href=\"https:\/\/blogs.nvidia.com\/blog\/2009\/12\/16\/whats-the-difference-between-a-cpu-and-a-gpu\/\">GPU bao g\u1ed3m h\u00e0ng tr\u0103m cores<\/a>\u00a0c\u00f3 th\u1ec3 x\u1eed l\u00fd h\u00e0ng ngh\u00ecn threads c\u00f9ng m\u1ed9t l\u00fac.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2023\/10\/tgmc-blog-6540b99f898bf.jpg\" alt=\"\" \/><\/p>\n<p>B\u1ed9 th\u01b0 vi\u1ec7n ph\u1ea7n m\u1ec1m ngu\u1ed3n m\u1edf\u00a0NVIDIA\u00a0<a href=\"https:\/\/www.nvidia.com\/en-us\/deep-learning-ai\/software\/rapids\/\">RAPIDS<\/a>, \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean\u00a0<a href=\"https:\/\/developer.nvidia.com\/machine-learning\">CUDA-X AI<\/a>, cung c\u1ea5p kh\u1ea3 n\u0103ng th\u1ef1c thi c\u00e1c quy tr\u00ecnh ph\u00e2n t\u00edch v\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u t\u1eeb \u0111\u1ea7u \u0111\u1ebfn cu\u1ed1i ho\u00e0n to\u00e0n tr\u00ean GPU. D\u1ef1a tr\u00ean c\u00e1c nguy\u00ean h\u00e0m NVIDIA CUDA \u0111\u1ec3 t\u1ed1i \u01b0u h\u00f3a \u0111i\u1ec7n to\u00e1n \u1edf m\u1ee9c \u0111\u1ed9 th\u1ea5p, nh\u01b0ng th\u1ec3 hi\u1ec7n t\u00ednh song song c\u1ee7a GPU v\u00e0 t\u1ed1c \u0111\u1ed9 b\u1ed9 nh\u1edb b\u0103ng th\u00f4ng cao th\u00f4ng qua giao di\u1ec7n Python th\u00e2n thi\u1ec7n v\u1edbi ng\u01b0\u1eddi d\u00f9ng.<\/p>\n<p>C\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y cuML v\u00e0 c\u00e1c ph\u00e9p to\u00e1n nguy\u00ean th\u1ee7y c\u1ee7a RAPIDS tu\u00e2n theo API t\u01b0\u01a1ng t\u1ef1 nh\u01b0 Scikit-learn quen thu\u1ed9c.\u00a0C\u00e1c thu\u1eadt to\u00e1n ph\u1ed5 bi\u1ebfn nh\u01b0 XGBoost, Random Forest v\u00e0 nhi\u1ec1u thu\u1eadt to\u00e1n kh\u00e1c \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 cho c\u1ea3 tri\u1ec3n khai GPU \u0111\u01a1n v\u00e0 trung t\u00e2m d\u1eef li\u1ec7u l\u1edbn.\u00a0\u0110\u1ed1i v\u1edbi c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn, vi\u1ec7c tri\u1ec3n khai d\u1ef1a tr\u00ean GPU n\u00e0y c\u00f3 th\u1ec3 ho\u00e0n th\u00e0nh nhanh h\u01a1n 10-50 l\u1ea7n so v\u1edbi CPU t\u01b0\u01a1ng \u0111\u01b0\u01a1ng.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2023\/10\/tgmc-blog-6540b9a00f3b5.png\" alt=\"\" \/><\/p>\n<p>V\u1edbi RAPIDS GPU DataFrame, d\u1eef li\u1ec7u c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c t\u1ea3i l\u00ean GPU b\u1eb1ng giao di\u1ec7n nh\u01b0 Pandas, sau \u0111\u00f3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho c\u00e1c thu\u1eadt to\u00e1n ph\u00e2n t\u00edch bi\u1ec3u \u0111\u1ed3 v\u00e0 h\u1ecdc m\u00e1y \u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i kh\u00e1c nhau m\u00e0 kh\u00f4ng c\u1ea7n t\u00e1ch kh\u1ecfi GPU.\u00a0M\u1ee9c \u0111\u1ed9 t\u01b0\u01a1ng t\u00e1c n\u00e0y c\u00f3 th\u1ec3 th\u1ef1c hi\u1ec7n \u0111\u01b0\u1ee3c th\u00f4ng qua c\u00e1c th\u01b0 vi\u1ec7n nh\u01b0 Apache Arrow v\u00e0 cho ph\u00e9p t\u0103ng t\u1ed1c quy tr\u00ecnh t\u1eeb \u0111\u1ea7u \u0111\u1ebfn cu\u1ed1i t\u1eeb kh\u00e2u chu\u1ea9n b\u1ecb d\u1eef li\u1ec7u, h\u1ecdc m\u00e1y \u0111\u1ebfn h\u1ecdc s\u00e2u.<\/p>\n<p>RAPIDS h\u1ed7 tr\u1ee3 chia s\u1ebb b\u1ed9 nh\u1edb thi\u1ebft b\u1ecb gi\u1eefa nhi\u1ec1u th\u01b0 vi\u1ec7n khoa h\u1ecdc d\u1eef li\u1ec7u ph\u1ed5 bi\u1ebfn.\u00a0\u0110i\u1ec1u n\u00e0y gi\u00fap l\u01b0u tr\u1eef d\u1eef li\u1ec7u tr\u00ean GPU v\u00e0 tr\u00e1nh vi\u1ec7c sao ch\u00e9p qua l\u1ea1i v\u00e0o b\u1ed9 nh\u1edb m\u00e1y ch\u1ee7.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2023\/10\/tgmc-blog-6540b9a102e2b.png\" alt=\"\" \/><\/p>\n<div>____<br \/><b>B\u00e0i vi\u1ebft li\u00ean quan<\/b><\/div>\n<ul>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23415\">B\u01b0\u1edbc v\u00e0o k\u1ef7 nguy\u00ean tr\u1ee3 l\u00fd AI c\u00e1 nh\u00e2n &#8211; so s\u00e1nh chi ti\u1ebft NVIDIA RTX Spark v\u00e0 DGX Spark<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23322\">NVIDIA RTX PRO 4500 Blackwell Server Edition: B\u01b0\u1edbc nh\u1ea3y v\u1ecdt t\u1eeb th\u1ebf h\u1ec7 L4 cho h\u1ea1 t\u1ea7ng AI suy lu\u1eadn hi\u1ec7u n\u0103ng cao<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23119\">NVIDIA NGC\u2011ready Low\u2011latency Edge AI: Gi\u1ea3i ph\u00e1p cho Retail, Manufacturing v\u00e0 Smart Cities<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23110\">So s\u00e1nh s\u1ee9c m\u1ea1nh c\u1ee7a m\u00e1y t\u00ednh AI DGX Spark v\u1edbi c\u00e1c card GPU m\u00e1y tr\u1ea1m chuy\u00ean nghi\u1ec7p c\u1ee7a NVIDIA<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22969\">T\u1eeb Orin \u0111\u1ebfn Thor: B\u01b0\u1edbc nh\u1ea3y v\u1ecdt ki\u1ebfn tr\u00fac c\u1ee7a NVIDIA JetPack 7.0 v\u00e0 t\u01b0\u01a1ng lai c\u1ee7a robot h\u00ecnh ng\u01b0\u1eddi<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22887\">T\u1ea1i sao g\u1ecdi NVIDIA DGX Spark l\u00e0 Si\u00eau m\u00e1y t\u00ednh AI c\u00e1 nh\u00e2n?<\/a><\/li>\n<\/ul>\n<\/p>","protected":false},"excerpt":{"rendered":"<p>L&agrave; th&#432; vi&#7879;n h&#7885;c m&aacute;y (ML) d&agrave;nh cho ng&ocirc;n ng&#7919; l&#7853;p tr&igrave;nh&nbsp;Python, Scikit-learn c&oacute; s&#7889; l&#432;&#7907;ng l&#7899;n thu&#7853;t to&aacute;n m&agrave; c&aacute;c l&#7853;p tr&igrave;nh vi&ecirc;n v&agrave; nh&agrave; khoa h&#7885;c d&#7919; li&#7879;u c&oacute; th&#7875; d&#7877; d&agrave;ng tri&#7875;n khai trong c&aacute;c m&ocirc; h&igrave;nh h&#7885;c m&aacute;y. Scikit-learn l&agrave; g&igrave;? Scikit-learn l&agrave; m&#7897;t th&#432; vi&#7879;n h&#7885;c m&aacute;y ph&#7893; bi&#7871;n v&agrave;&#8230;<\/p>\n","protected":false},"author":29,"featured_media":18195,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3],"tags":[811,29,1314,1175],"class_list":["post-18186","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-hpc","tag-ai-training","tag-machine-learning","tag-nvidia","tag-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Scikit-learn m\u1ed9t th\u01b0 vi\u1ec7n quan tr\u1ecdng cho ML tr\u00ean ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh Python - Blog | TheGioiMayChu<\/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:\/\/thegioimaychu.vn\/blog\/ai-hpc\/scikit-learn-mot-thu-vien-quan-trong-cho-ngon-ngu-lap-trinh-python-p18186\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Scikit-learn m\u1ed9t th\u01b0 vi\u1ec7n quan tr\u1ecdng cho ML tr\u00ean ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh Python - Blog | TheGioiMayChu\" \/>\n<meta name=\"twitter:description\" content=\"L&agrave; th&#432; vi&#7879;n h&#7885;c m&aacute;y (ML) d&agrave;nh cho ng&ocirc;n ng&#7919; l&#7853;p tr&igrave;nh&nbsp;Python, Scikit-learn c&oacute; s&#7889; l&#432;&#7907;ng l&#7899;n thu&#7853;t to&aacute;n m&agrave; c&aacute;c l&#7853;p tr&igrave;nh vi&ecirc;n v&agrave; nh&agrave; khoa h&#7885;c d&#7919; li&#7879;u c&oacute; th&#7875; d&#7877; d&agrave;ng tri&#7875;n khai trong c&aacute;c m&ocirc; h&igrave;nh h&#7885;c m&aacute;y. Scikit-learn l&agrave; g&igrave;? 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Scikit-learn l&agrave; g&igrave;? 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