M\u1ed9t sinh vi\u00ean Khoa h\u1ecdc m\u00e1y t\u00ednh vi\u1ebft cho t\u00f4i: \u201cTh\u1ea7y \u0111\u00e3 vi\u1ebft r\u1eb1ng Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 H\u1ecdc m\u00e1y l\u00e0 k\u0129 n\u0103ng c\u00f3 nhu c\u1ea7u cao nh\u01b0ng tr\u01b0\u1eddng em kh\u00f4ng d\u1ea1y c\u00e1c m\u00f4n n\u00e0y. Ch\u01b0\u01a1ng tr\u00ecnh CS c\u1ee7a ch\u00fang em v\u1eabn h\u1ed9i t\u1ee5 ch\u1ee7 y\u1ebfu v\u00e0o c\u00e1c ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh nh\u01b0 Java, C++, v\u00e0 JavaScript. Em th\u1ea5t v\u1ecdng nh\u01b0ng kh\u00f4ng bi\u1ebft ph\u1ea3i l\u00e0m g\u00ec. Xin th\u1ea7y l\u1eddi khuy\u00ean.\u201d<\/p>\n
\u0110\u00e1p: H\u1ecdc m\u00e1y l\u00e0 l\u0129nh v\u1ef1c t\u0103ng tr\u01b0\u1edfng nhanh ch\u00f3ng ng\u00e0y nay v\u00e0 nhi\u1ec1u c\u00f4ng ti \u0111ang t\u00ecm ng\u01b0\u1eddi t\u1ed1t nghi\u1ec7p c\u00f3 k\u0129 n\u0103ng n\u00e0y. N\u1ebfu tr\u01b0\u1eddng c\u1ee7a em kh\u00f4ng c\u00f3 m\u00f4n h\u1ecdc theo ch\u1ee7 \u0111\u1ec1 n\u00e0y, em c\u00f3 th\u1ec3 h\u1ecdc t\u1eeb M\u00f4n h\u1ecdc tr\u1ef1c tuy\u1ebfn m\u1edf cho \u0111\u1ea1i ch\u00fang (MOOCs) tr\u00ean Internet. L\u00e0 sinh vi\u00ean CS, em c\u1ea7n ch\u1ee7 \u0111\u1ed9ng trong vi\u1ec7c h\u1ecdc c\u1ee7a em v\u00e0 t\u00ecm ra c\u00e1ch h\u1ecdc \u0111i\u1ec1u em c\u1ea7n thay v\u00ec ch\u1edd \u0111\u1ee3i nh\u00e0 tr\u01b0\u1eddng d\u1ea1y m\u00f4n h\u1ecdc n\u00e0y.<\/p>\n
N\u1ebfu em mu\u1ed1n h\u1ecdc v\u1ec1 h\u1ecdc m\u00e1y, th\u1ea7y g\u1ee3i \u00fd r\u1eb1ng em b\u1eaft \u0111\u1ea7u b\u1eb1ng vi\u1ec7c h\u1ecdc \u201cM\u00f4n h\u1ecdc nh\u1eadp m\u00f4n\u201d \u0111\u1ec3 hi\u1ec3u h\u1ecdc m\u00e1y c\u00f3 th\u1ec3 v\u00e0 kh\u00f4ng th\u1ec3 l\u00e0m \u0111\u01b0\u1ee3c g\u00ec. Tri th\u1ee9c chung v\u1ec1 l\u0129nh v\u1ef1c n\u00e0y s\u1ebd gi\u00fap em \u0111i xa h\u01a1n trong h\u1ecdc t\u1eadp c\u1ee7a em v\u00e0 ph\u00e1t tri\u1ec3n k\u0129 n\u0103ng c\u1ee7a em. Nhi\u1ec1u sinh vi\u00ean th\u01b0\u1eddng b\u1ecf m\u00f4n nh\u1eadp m\u00f4n m\u00e0 nh\u1ea3y v\u00e0o ph\u1ea7n th\u1ef1c hi\u1ec7n hay h\u1ecdc c\u00e1ch d\u00f9ng c\u00f4ng c\u1ee5. \u0110\u00f3 l\u00e0 sai l\u1ea7m v\u00ec h\u1ecd ch\u1ec9 h\u1ecdc \u201cth\u1ee7 thu\u1eadt\u201d m\u00e0 kh\u00f4ng bi\u1ebft c\u00e1ch \u00e1p d\u1ee5ng h\u1ecdc m\u00e1y m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3. Trong tr\u01b0\u1eddng h\u1ee3p \u0111\u00f3, h\u1ecd s\u1ebd kh\u00f4ng \u0111i xa trong ngh\u1ec1 nghi\u1ec7p c\u1ee7a h\u1ecd. Th\u1ea7y th\u01b0\u1eddng n\u00f3i v\u1edbi sinh vi\u00ean c\u1ee7a th\u1ea7y: \u201cH\u1ecdc c\u00f4ng c\u1ee5 nh\u01b0ng kh\u00f4ng h\u1ecdc nguy\u00ean l\u00ed gi\u1ed1ng nh\u01b0 \u0103n \u2018m\u00ec \u0103n li\u1ec1n\u2019 m\u00e0 kh\u00f4ng \u0103n \u2018th\u1ee9c \u0103n cho ng\u01b0\u1eddi s\u00e0nh \u0103n.\u2019\u201d<\/p>\n
Tr\u01b0\u1edbc khi em b\u1eaft \u0111\u1ea7u l\u00e0m vi\u1ec7c tr\u00ean c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y, em c\u1ea7n hi\u1ec3u em \u0111ang gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 g\u00ec. Em c\u1ea7n h\u1ecfi nhi\u1ec1u c\u00e2u h\u1ecfi \u0111\u1ec3 ch\u1eafc r\u1eb1ng em bi\u1ebft c\u00e1i g\u00ec l\u00e0 v\u1ea5n \u0111\u1ec1 m\u00e0 em mu\u1ed1n gi\u1ea3i quy\u1ebft. B\u1eb1ng vi\u1ec7c bi\u1ebft ch\u00fang, \u00a0em c\u00f3 th\u1ec3 \u0111\u1eb7t c\u00e1c tham s\u1ed1 c\u1ee7a em m\u1ed9t c\u00e1ch \u0111\u00fang \u0111\u1eafn v\u00e0 t\u1ea1o ra \u01b0u ti\u00ean \u0111\u1ec3 tr\u1ea3 l\u1eddi cho t\u1eebng c\u00e2u h\u1ecfi v\u00e0o t\u1eebng l\u00fac \u0111\u1ec3 cho em s\u1ebd kh\u00f4ng b\u1ecb tr\u00e0n ng\u1eadp b\u1edfi d\u1eef li\u1ec7u v\u00e0 tr\u1edf n\u00ean l\u1eabn l\u1ed9n. B\u1eb1ng vi\u1ec7c bi\u1ebft c\u00e2u h\u1ecfi n\u00e0y c\u1ea7n \u0111\u01b0\u1ee3c tr\u1ea3 l\u1eddi v\u1edbi ph\u00e2n t\u00edch d\u1eef li\u1ec7u, em c\u00f3 th\u1ec3 nh\u1eadn di\u1ec7n d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c c\u1ea7n \u0111\u1ec3 thu th\u1eadp \u0111\u1ec3 cho em c\u00f3 th\u1ec3 thu th\u1eadp ch\u00fang c\u0169ng nh\u01b0 kh\u1ed1i l\u01b0\u1ee3ng d\u1eef li\u1ec7u \u0111\u00f3 \u0111\u1ec3 h\u1ed7 tr\u1ee3 cho c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y c\u1ee7a em.<\/p>\n
B\u01b0\u1edbc ti\u1ebfp l\u00e0 hu\u1ea5n luy\u1ec7n cho m\u00e1y h\u1ecdc v\u00e0 ph\u1ea3i ch\u1eafc r\u1eb1ng em c\u00f3 \u0111\u1ee7 d\u1eef li\u1ec7u cho n\u00f3 h\u1ecdc. Kh\u00f4ng c\u00f3 d\u1eef li\u1ec7u \u0111\u1ee7, vi\u1ec7c h\u1ecdc m\u00e1y c\u1ee7a em s\u1ebd kh\u00f4ng cho em hi\u1ec7u n\u0103ng em mu\u1ed1n. \u0110\u1eebng v\u1ed9i v\u00e0ng \u0111\u1ec3 cho c\u00e1c thu\u1eadt to\u00e1n l\u00e0m vi\u1ec7c ch\u1eebng n\u00e0o em ch\u01b0a c\u00f3 \u0111\u1ee7 d\u1eef li\u1ec7u. C\u00f3 nhi\u1ec1u d\u1eef li\u1ec7u c\u00f4ng khai s\u1eb5n c\u00f3 tr\u00ean Internet m\u00e0 em c\u00f3 th\u1ec3 d\u00f9ng b\u1eb1ng vi\u1ec7c duy tr\u00ec h\u1ed9i t\u1ee5 v\u00e0o \u0111i\u1ec1u em mu\u1ed1n l\u00e0m. \u0110\u1eebng c\u1ed1 \u00e1p d\u1ee5ng c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y cho m\u1ecdi d\u1eef li\u1ec7u em c\u00f3 th\u1ec3 c\u00f3, n\u00f3 s\u1ebd l\u00e0m tr\u00e0n ng\u1eadp em.\u00a0 Ch\u1ec9 l\u1ea5y nh\u1eefng d\u1eef li\u1ec7u li\u00ean quan t\u1edbi v\u1ea5n \u0111\u1ec1 c\u1ee7a em \u0111\u1ec3 xem li\u1ec7u h\u1ecdc m\u00e1y c\u1ee7a em c\u00f3 cho k\u1ebft qu\u1ea3 nh\u01b0 mong \u0111\u1ee3i kh\u00f4ng. \u0110\u1eebng v\u1ed9i v\u00e0ng v\u1ec1 ph\u1ea1m sai l\u1ea7m, ph\u1ea7n l\u1edbn sinh vi\u00ean c\u1ee7a th\u1ea7y c\u0169ng ph\u1ea1m sai l\u1ea7m trong b\u01b0\u1edbc n\u00e0y nh\u01b0ng h\u1ecd c\u0169ng h\u1ecdc \u0111\u01b0\u1ee3c t\u1eeb sai l\u1ea7m c\u1ee7a h\u1ecd v\u00e0 em n\u00ean l\u00e0m c\u00f9ng \u0111i\u1ec1u \u0111\u00f3. M\u1ed9t khi em c\u00f3 th\u1ec3 l\u00e0m ch\u1ee7 b\u01b0\u1edbc n\u00e0y v\u00e0 l\u00e0m cho vi\u1ec7c h\u1ecdc m\u00e1y th\u00e0nh d\u1ef1 \u0111o\u00e1n \u0111\u01b0\u1ee3c theo m\u1ee5c \u0111\u00edch c\u1ee7a em th\u00ec em c\u00f3 th\u1ec3 ti\u1ebfn sang c\u00e1c thu\u1eadt to\u00e1n ph\u1ee9c t\u1ea1p.<\/p>\n
Sau khi ph\u00e1t tri\u1ec3n k\u0129 n\u0103ng h\u1ecdc m\u00e1y v\u00e0 bi\u1ebft c\u00e1ch gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1, b\u01b0\u1edbc ti\u1ebfp l\u00e0 \u201cch\u01a1i\u201d v\u1edbi c\u00e1c c\u00f4ng c\u1ee5 th\u01b0\u01a1ng m\u1ea1i s\u1eb5n c\u00f3 tr\u00ean Internet. C\u00e1c website AWS c\u1ee7a Amazon v\u00e0 Azure c\u1ee7a Microsoft c\u00f3 nhi\u1ec1u c\u00f4ng c\u1ee5 cho ph\u00e2n t\u00edch d\u1eef li\u1ec7u m\u00e0 em c\u00f3 th\u1ec3 h\u1ecdc. Em c\u00f3 th\u1ec3 d\u00f9ng d\u1eef li\u1ec7u c\u1ee7a h\u1ecd \u0111\u1ec3 l\u00e0m quen v\u1edbi c\u00e1c c\u00f4ng c\u1ee5 r\u1ed3i d\u00f9ng d\u1eef li\u1ec7u ri\u00eang c\u1ee7a em \u0111\u1ec3 hu\u1ea5n luy\u1ec7n c\u00f4ng c\u1ee5 \u0111\u1ec3 l\u00e0m cho n\u00f3 l\u00e0m \u0111i\u1ec1u em c\u1ea7n. H\u1ecdc m\u00e1y ch\u1ec9 t\u1ed1t nh\u01b0 d\u1eef li\u1ec7u em cho ch\u00fang. \u0110\u1ec3 x\u00e2y d\u1ef1ng k\u0129 n\u0103ng c\u1ee7a em trong c\u00f4ng ngh\u1ec7 h\u1ecdc m\u00e1y, em c\u1ea7n b\u1eaft \u0111\u1ea7u v\u1edbi d\u1eef li\u1ec7u t\u1ed1t nh\u1ea5t theo \u0111\u00f3 m\u00e1y c\u00f3 th\u1ec3 h\u1ecdc \u0111\u01b0\u1ee3c.<\/p>\n
<\/p>\n
—English version—<\/p>\n
<\/p>\n
Machine Learning<\/p>\n
A Computer Science student wrote to me: \u201cYou wrote that Artificial Intelligence and Machine Learning are the high demand skills but my school does not teach these subjects. Our CS program is still focusing mostly on programming languages such as Java, C++, and JavaScript. I am disappointed but do not know what to do. Please advise.\u201d<\/p>\n
Answer: Machine learning is a fast-growing field today and many companies are looking to find college graduates that have this skill. If your school does not have a course in this subject, you can learn from Massive Open Online Courses (MOOCs) on the Internet. As a CS student, you need to be active in your learning and find a way to learn what you need instead of waiting for the school to teach the subject.<\/p>\n
If you want to learn machine learning, I suggest that you begin by taking an \u201cIntroduction course\u201d to understand what machine learning can and cannot do. A general knowledge about this field will help you to go further in your learning and develop your skills. Many students often skip the introduction course but jump to the implementation part or learning how to use tools. It is a mistake as they only learn the \u201ctricks\u201d but do not know how to apply machine learning efficiently. In that case, they will not go far in their career. I often told my students: \u201clearning the tools but not the principles is like eating \u201cInstant noodle\u201d but not \u201cGourmet foods.\u201d<\/p>\n
Before you start to work on the machine learning algorithms, you need to understand what problems you are solving. You need to ask many questions to make sure that you know what are the problems that you want to solve. By knowing them, \u00a0you can set your parameters correctly and create a priority to answer each question at a time so you will not get overwhelmed by data and become confused. By knowing which question that needs to be answered with data analysis, you can identify the data needed to collect so you can gather them as well as the amount of that data to support your machine learning algorithms.<\/p>\n
The next step is to train the machine to learn and make sure that you have enough data for it to learn. Without sufficient data, your machine learning will not give you the performance that you want. Do not hurry to get the algorithms to work unless you have enough data. There are a lot of public data available on the Internet that you can use but stay focus on what you want to do. Do not try to apply machine learning algorithms to every data you can get, it will overwhelm you.\u00a0 Only get the data that are relevant to your questions to see if your machine learning yields the results as expected. Do not worry about making mistake, most of my students are also making mistakes during this step but they also learn from their mistakes and you should do the same. Once you can master this step and get the machine learning to predict according to your goals then you can move on to complex algorithms.<\/p>\n
After developing the machine learning skills and know how to solve problems. The next step is to \u201cplay\u201d with commercial tools available on the Internet. Amazon\u2019s AWS, Microsoft\u2019s Azure websites have many tools for data analytics that you can learn. You can use their data to get familiar with the tools then use your own data to train the tools to get it to do what you need. Machines learning is only as good as the data that you give them. To build your skills in machine learning technology, you need to start with the best data on which the machine can learn.<\/p>\n
<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
M\u1ed9t sinh vi\u00ean Khoa h\u1ecdc m\u00e1y t\u00ednh vi\u1ebft cho t\u00f4i: \u201cTh\u1ea7y \u0111\u00e3 vi\u1ebft r\u1eb1ng Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 H\u1ecdc m\u00e1y l\u00e0 k\u0129 n\u0103ng c\u00f3 … <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[],"class_list":["post-5988","post","type-post","status-publish","format-standard","hentry","category-hoi-va-dap"],"_links":{"self":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/5988","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5988"}],"version-history":[{"count":1,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/5988\/revisions"}],"predecessor-version":[{"id":5989,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/5988\/revisions\/5989"}],"wp:attachment":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5988"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5988"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5988"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}