Tu\u1ea7n tr\u01b0\u1edbc, Gary Kolesar ng\u01b0\u1eddi \u0111\u00e3 t\u1ed1t nghi\u1ec7p ba n\u0103m tr\u01b0\u1edbc quay l\u1ea1i Carnegie Mellon \u0111\u1ec3 th\u0103m t\u00f4i. V\u00ec anh \u1ea5y l\u00e0 sinh vi\u00ean l\u1edbn tu\u1ed5i h\u01a1n, t\u00f4i \u0111\u1ec1 ngh\u1ecb anh \u1ea5y chia s\u1ebb kinh nghi\u1ec7m c\u1ee7a m\u00ecnh cho sinh vi\u00ean c\u1ee7a t\u00f4i. Sau \u0111\u00e2y l\u00e0 \u0111i\u1ec1u anh \u1ea5y n\u00f3i.<\/p>\n
<\/p>\n
\u201cKhi t\u00f4i quay l\u1ea1i tr\u01b0\u1eddng \u0111\u1ec3 theo \u0111u\u1ed5i b\u1eb1ng th\u1ea1c s\u0129 trong tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI), t\u00f4i kh\u00f4ng tho\u1ea3i m\u00e1i v\u00ec t\u00f4i \u0111\u00e3 c\u00f3 b\u1eb1ng c\u1eed nh\u00e2n trong kinh doanh v\u00e0 m\u01b0\u1eddi l\u0103m n\u0103m kinh nghi\u1ec7m l\u00e0m vi\u1ec7c. Cho d\u00f9 t\u00f4i \u0111\u00e3 c\u00f3 vi\u1ec7c l\u00e0m t\u1ed1t l\u00e0 k\u1ebf to\u00e1n trong m\u1ed9t c\u00f4ng ti t\u00e0i ch\u00ednh nh\u01b0ng t\u00f4i bi\u1ebft r\u1eb1ng kh\u00f4ng c\u00f3 m\u1ea5y t\u01b0\u01a1ng lai trong l\u0129nh v\u1ef1c n\u00e0y v\u00ec th\u1ebf gi\u1edbi \u0111\u00e3 thay \u0111\u1ed5i v\u00e0 s\u1edbm hay mu\u1ed9n, c\u00f4ng ngh\u1ec7 s\u1ebd ti\u1ebfp qu\u1ea3n. \u0110\u00f3 l\u00e0 l\u00ed do t\u1ea1i sao t\u00f4i quy\u1ebft \u0111\u1ecbnh tr\u1edf l\u1ea1i tr\u01b0\u1eddng \u0111\u1ec3 l\u1ea5y b\u1eb1ng kh\u00e1c. T\u00f4i l\u1eadp k\u1ebf ho\u1ea1ch ngh\u1ec1 nghi\u1ec7p th\u1ee9 hai c\u1ee7a m\u00ecnh m\u1ed9t c\u00e1ch c\u1ea9n th\u1eadn v\u00ec t\u00f4i mu\u1ed1n ch\u1eafc r\u1eb1ng t\u00f4i s\u1ebd h\u1ecdc c\u00e1i g\u00ec \u0111\u00f3 m\u00e0 c\u00f3 th\u1ec3 di\u1ec5n ra trong th\u1eddi gian d\u00e0i. T\u00f4i \u0111\u00e3 ch\u1ecdn AI v\u00ec Khoa h\u1ecdc m\u00e1y t\u00ednh v\u00e0 c\u00e1c l\u0129nh v\u1ef1c li\u00ean quan \u0111ang t\u0103ng tr\u01b0\u1edfng nhanh ch\u00f3ng h\u01a1n v\u00e0 tr\u1ea3 l\u01b0\u01a1ng nhi\u1ec1u h\u01a1n b\u1ea5t k\u00ec ngh\u1ec1 n\u00e0o.<\/p>\n
V\u1edbi ng\u01b0\u1eddi g\u1ea7n b\u1ed1n m\u01b0\u01a1i tu\u1ed5i \u0111\u1ea7u tr\u1edf v\u1ec1 tr\u01b0\u1eddng l\u00e0 KH\u00d4NG d\u1ec5 d\u00e0ng v\u00ec b\u1ea1n kh\u00f4ng c\u00f2n tr\u1ebb v\u00e0 c\u00f3 th\u1ec3 kh\u00f4ng kh\u1edbp \u0111\u01b0\u1ee3c v\u1edbi ng\u01b0\u1eddi kh\u00e1c, nh\u1eefng ng\u01b0\u1eddi \u0111ang trong l\u1ee9a tu\u1ed5i hai m\u01b0\u01a1i. T\u00f4i nh\u00ecn v\u00e0o tu\u1ef3 ch\u1ecdn kh\u00e1c tr\u01b0\u1edbc khi l\u00e0m quy\u1ebft \u0111\u1ecbnh quay l\u1ea1i tr\u01b0\u1eddng. C\u00f3 m\u1ed9t tu\u1ef3 ch\u1ecdn cho ai \u0111\u00f3 nh\u01b0 t\u00f4i l\u00e0 t\u00f4i c\u00f3 th\u1ec3 l\u00ean tr\u1ef1c tuy\u1ebfn v\u00e0 h\u1ecdc t\u1eeb C\u00e1c m\u00f4n h\u1ecdc tr\u1ef1c tuy\u1ebfn m\u1edf cho \u0111\u1ea1i ch\u00fang (MOOCs.) \u0110\u00e2y l\u00e0 ch\u1ecdn l\u1ef1a t\u1ed1t v\u00e0 n\u00f3 l\u00e0 d\u1ec5 h\u01a1n v\u00e0 nhanh h\u01a1n. Nhi\u1ec1u m\u00f4n h\u1ecdc tr\u1ef1c tuy\u1ebfn ng\u1eafn, ch\u1ec9 v\u00e0i tu\u1ea7n t\u1edbi v\u00e0i th\u00e1ng v\u00e0 ch\u1eebng n\u00e0o b\u1ea1n c\u00f2n l\u00e0m vi\u1ec7c ch\u0103m ch\u1ec9 v\u00e0 tu\u00e2n theo k\u1ec9 lu\u1eadt t\u1ef1 gi\u00e1c, b\u1ea1n s\u1ebd h\u1ecdc t\u1ed1t. T\u00f4i \u0111\u00e3 h\u1ecdc v\u00e0i m\u00f4n tr\u1ef1c tuy\u1ebfn t\u1eeb edX v\u00e0 Coursera v\u00e0 k\u1ebft lu\u1eadn r\u1eb1ng m\u1ecdi ng\u01b0\u1eddi c\u00f3 th\u1ec3 h\u1ecdc nhi\u1ec1u th\u1ee9 t\u1eeb MOOCs v\u00e0 sau khi ho\u00e0n th\u00e0nh m\u1ed9t s\u1ed1 m\u00f4n h\u1ecdc, h\u1ecd c\u00f3 th\u1ec3 c\u00f3 \u0111\u01b0\u1ee3c ch\u1ee9ng ch\u1ec9 r\u1ed3i \u0111i t\u00ecm vi\u1ec7c l\u00e0m. Tuy nhi\u00ean, MOOCs KH\u00d4NG d\u00e0nh cho t\u00f4i. T\u00f4i ngh\u0129 MOOCs l\u00e0 t\u1ed1t cho nh\u1eefng ng\u01b0\u1eddi c\u1ea7n c\u00f3 vi\u1ec7c l\u00e0m nhanh ch\u00f3ng nh\u01b0ng \u0111\u1ec3 ph\u00e1t tri\u1ec3n ngh\u1ec1 nghi\u1ec7p trong th\u1eddi gian d\u00e0i, n\u00f3 c\u00f3 th\u1ec3 kh\u00f4ng ph\u1ea3i l\u00e0 gi\u1ea3i ph\u00e1p t\u1ed1t nh\u1ea5t. T\u1ea5t nhi\u00ean \u0111\u00f3 l\u00e0 \u00fd ki\u1ebfn ri\u00eang c\u1ee7a t\u00f4i v\u00ec t\u00f4i bi\u1ebft ai \u0111\u00f3 c\u00f3 th\u1ec3 kh\u00f4ng \u0111\u1ed3ng \u00fd v\u1edbi t\u00f4i.<\/p>\n
T\u00f4i quy\u1ebft \u0111\u1ecbnh \u0111i theo con \u0111\u01b0\u1eddng truy\u1ec1n th\u1ed1ng c\u1ee7a vi\u1ec7c tr\u1edf l\u1ea1i tr\u01b0\u1eddng \u0111\u1ec3 l\u1ea5y b\u1eb1ng th\u1ea1c s\u0129 t\u1ea1i Carnegie Mellon. Vi\u1ec7c n\u00e0y l\u00e2u h\u01a1n nhi\u1ec1u v\u00e0 t\u1ed1n k\u00e9m h\u01a1n nh\u01b0ng \u0111\u00e3 l\u00e0m vi\u1ec7c trong nhi\u1ec1u n\u0103m, t\u00f4i \u0111\u00e3 ti\u1ebft ki\u1ec7m \u0111\u1ee7 ti\u1ec1n cho gi\u00e1o d\u1ee5c c\u1ee7a t\u00f4i. T\u00f4i mu\u1ed1n h\u1ecdc m\u1ecdi th\u1ee9 v\u1edbi m\u1ee9c \u0111\u1ed9 s\u00e2u nh\u1ea5t \u0111\u1ec3 chu\u1ea9n b\u1ecb cho ngh\u1ec1 nghi\u1ec7p c\u1ee7a t\u00f4i m\u00e0 c\u00f3 th\u1ec3 k\u00e9o d\u00e0i cho to\u00e0n th\u1ec3 cu\u1ed9c \u0111\u1eddi t\u00f4i. L\u00ed do t\u00f4i ch\u1ecdn Carnegie Mellon v\u00ec n\u00f3 l\u00e0 tr\u01b0\u1eddng duy nh\u1ea5t cung c\u1ea5p c\u00e1c ch\u01b0\u01a1ng tr\u00ecnh trong Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0o th\u1eddi \u0111i\u1ec3m \u0111\u00f3.\u00a0 Sau hai n\u0103m h\u1ecdc \u1edf \u0111\u00f3, t\u00f4i \u0111\u00e3 nh\u1eadn \u0111\u01b0\u1ee3c ba \u0111\u1ec1 ngh\u1ecb vi\u1ec7c l\u00e0m v\u00e0i th\u00e1ng tr\u01b0\u1edbc khi t\u1ed1t nghi\u1ec7p v\u00e0 t\u00f4i \u0111\u00e3 ch\u1ea5p nh\u1eadn \u0111\u1ec1 ngh\u1ecb t\u1eeb Google. \u0110\u1ebfn l\u00fac \u0111\u00f3, t\u00f4i bi\u1ebft r\u1eb1ng t\u00f4i \u0111\u00e3 l\u00e0m quy\u1ebft \u0111\u1ecbnh \u0111\u00fang l\u00e0 quay l\u1ea1i tr\u01b0\u1eddng.<\/p>\n
L\u00e0 sinh vi\u00ean Khoa h\u1ecdc m\u00e1y t\u00ednh, b\u1ea1n \u0111\u00e3 bi\u1ebft r\u1eb1ng ph\u1ea7n l\u1edbn c\u00e1c ch\u01b0\u01a1ng tr\u00ecnh m\u00e1y t\u00ednh b\u1eaft \u0111\u1ea7u v\u1edbi ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh v\u00e0 c\u00e1c kh\u00e1i ni\u1ec7m c\u01a1 b\u1ea3n. Nhi\u1ec1u sinh vi\u00ean kh\u00f4ng th\u00edch c\u00e1c kh\u00e1i ni\u1ec7m v\u00e0 l\u00ed thuy\u1ebft nh\u01b0ng \u01b0a th\u00edch h\u1ecdc v\u1ec1 c\u00f4ng ngh\u1ec7 v\u00ec ch\u00fang c\u00f3 li\u00ean quan h\u01a1n t\u1edbi \u0111i\u1ec1u h\u1ecd s\u1ebd d\u00f9ng trong c\u00f4ng nghi\u1ec7p. N\u1ebfu b\u1ea1n \u0111i v\u00e0o MOOCs, b\u1ea1n s\u1ebd bi\u1ebft nhi\u1ec1u v\u1ec1 c\u00f4ng ngh\u1ec7 v\u00e0 c\u00e1ch \u00e1p d\u1ee5ng ch\u00fang v\u00e0 b\u1ea1n c\u00f3 th\u1ec3 c\u00f3 \u0111\u01b0\u1ee3c vi\u1ec7c l\u00e0m d\u1ec5 d\u00e0ng v\u00ec ph\u1ea7n l\u1edbn c\u00e1c m\u00f4n h\u1ecdc c\u1ee7a MOOCs \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf theo c\u00e1ch \u0111\u00f3. Ch\u00fang gi\u00fap b\u1ea1n h\u1ecdc c\u00e1ch \u00e1p d\u1ee5ng c\u00f4ng ngh\u1ec7 nhanh ch\u00f3ng nh\u01b0ng KH\u00d4NG cho b\u1ea1n \u0111\u1ee7 th\u1eddi gian \u0111\u1ec3 \u0111i s\u00e2u h\u01a1n v\u00e0o c\u00e1c kh\u00e1i ni\u1ec7m m\u00e0 b\u1ea1n \u0111ang d\u00f9ng. Khi t\u00f4i h\u1ecdc m\u00f4n h\u1ecdc c\u1ee7a MOOCs, t\u00f4i c\u00f3 th\u1ec3 l\u00e0m nhi\u1ec1u th\u1ee9 nh\u01b0ng v\u1eabn kh\u00f4ng hi\u1ec3u m\u1ecdi chi ti\u1ebft. Theo \u00fd ki\u1ebfn t\u00f4i, b\u1eb1ng c\u1ea5p c\u1ee7a tr\u01b0\u1eddng truy\u1ec1n th\u1ed1ng h\u1ed9i t\u1ee5 nhi\u1ec1u h\u01a1n v\u00e0o c\u00e1c l\u00ed thuy\u1ebft v\u00e0 kh\u00e1i ni\u1ec7m n\u1ec1n t\u1ea3ng trong khi c\u00e1c m\u00f4n h\u1ecdc tr\u1ef1c tuy\u1ebfn l\u1ea1i \u0111\u01b0\u1ee3c h\u1ed9i t\u1ee5 nhi\u1ec1u h\u01a1n v\u00e0o c\u00e1c c\u00f4ng ngh\u1ec7 v\u00e0 \u1ee9ng d\u1ee5ng. \u0110\u1ec3 c\u00f3 vi\u1ec7c l\u00e0m, MOOCs l\u00e0 \u0111\u1ee7 t\u1ed1t nh\u01b0ng n\u1ebfu b\u1ea1n mu\u1ed1n \u0111i xa h\u01a1n n\u1eefa v\u00e0 s\u00e2u h\u01a1n n\u1eefa, tr\u01b0\u1eddng h\u1ecdc truy\u1ec1n th\u1ed1ng l\u00e0 t\u1ed1t h\u01a1n.<\/p>\n
Nhi\u1ec1u sinh vi\u00ean m\u00e1y t\u00ednh tin vi\u1ec7c bi\u1ebft l\u1eadp tr\u00ecnh l\u00e0 \u0111\u1ee7 t\u1ed1t \u0111\u1ec3 c\u00f3 \u0111\u01b0\u1ee3c vi\u1ec7c l\u00e0m. T\u1ea5t nhi\u00ean, ph\u1ea7n l\u1edbn c\u00e1c vi\u1ec7c l\u00e0m \u0111\u1ec1u y\u00eau c\u1ea7u k\u0129 n\u0103ng l\u1eadp tr\u00ecnh nh\u01b0ng n\u1ebfu b\u1ea1n mu\u1ed1n \u0111i xa h\u01a1n v\u00e0 th\u0103ng ti\u1ebfn ngh\u1ec1 nghi\u1ec7p c\u1ee7a b\u1ea1n, b\u1ea1n c\u1ea7n bi\u1ebft nhi\u1ec1u h\u01a1n v\u1ec1 to\u00e1n h\u1ecdc. Theo \u00fd ki\u1ebfn c\u1ee7a t\u00f4i, to\u00e1n l\u00e0 n\u1ec1n t\u1ea3ng cho m\u1ecdi t\u00ednh to\u00e1n, l\u1eadp lu\u1eadn v\u00e0 logic v\u00e0 \u0111\u1ec3 l\u00e0m vi\u1ec7c trong c\u00e1c l\u0129nh v\u1ef1c Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 H\u1ecdc m\u00e1y, b\u1ea1n c\u1ea7n c\u00f3 k\u0129 n\u0103ng to\u00e1n h\u1ecdc t\u1ed1t. Khi t\u00f4i c\u00f2n l\u00e0 sinh vi\u00ean kinh doanh, t\u00f4i kh\u00f4ng th\u00edch to\u00e1n nh\u01b0ng khi t\u00f4i tr\u1edf l\u1ea1i tr\u01b0\u1eddng v\u00e0 h\u1ecdc m\u00f4n \u201cNh\u1eadp m\u00f4n h\u1ec7 th\u1ed1ng m\u00e1y t\u00ednh\u201d, gi\u00e1o s\u01b0 V\u0169 \u0111\u00e3 gi\u1ea3i th\u00edch: \u201cKh\u00f4ng c\u00f3 k\u0129 n\u0103ng gi\u1ecfi trong to\u00e1n, em kh\u00f4ng th\u1ec3 ph\u00e1t tri\u1ec3n \u0111\u01b0\u1ee3c t\u01b0 duy t\u00ednh to\u00e1n v\u00e0 kh\u00f4ng c\u00f3 kh\u1ea3 n\u0103ng gi\u1ea3i quy\u1ebft c\u00e1c v\u1ea5n \u0111\u1ec1 ph\u1ee9c t\u1ea1p trong AI v\u00e0 H\u1ecdc m\u00e1y.\u201d V\u1edbi s\u1ef1 khuy\u1ebfn kh\u00edch c\u1ee7a th\u1ea7y, t\u00f4i \u0111\u00e3 theo h\u1ecdc v\u00e0i m\u00f4n to\u00e1n h\u1ecdc nh\u01b0 \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh, t\u00ednh to\u00e1n, to\u00e1n h\u1ecdc r\u1eddi r\u1ea1c v\u00e0 th\u1ed1ng k\u1ebf v\u00e0 t\u00f4i th\u1ea5y r\u1eb1ng ch\u00fang \u0111\u00e3 gi\u00fap t\u00f4i h\u1ecdc nhi\u1ec1u kh\u00e1i ni\u1ec7m tr\u1eebu t\u01b0\u1ee3ng v\u00e0 cung c\u1ea5p cho t\u00f4i nh\u1eefng c\u00e1ch ngh\u0129 m\u1edbi v\u1ec1 v\u1ea5n \u0111\u1ec1 t\u00f4i s\u1ebd ph\u1ea3i l\u00e0m vi\u1ec7c trong c\u00f4ng nghi\u1ec7p.<\/p>\n
\u0110\u1ec3 l\u00e0m vi\u1ec7c trong l\u0129nh v\u1ef1c Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o, b\u1ea1n c\u1ea7n k\u0129 n\u0103ng l\u1eadp tr\u00ecnh gi\u1ecfi v\u00e0 hi\u1ec3u c\u00e1ch ph\u00e2n t\u00edch v\u1ea5n \u0111\u1ec1, c\u00e1ch thu th\u1eadp d\u1eef li\u1ec7u \u0111\u00fang, c\u00e1ch g\u00e1n nh\u00e3n ch\u00fang t\u01b0\u01a1ng \u1ee9ng v\u00e0 bi\u1ebft c\u00e1ch m\u1ecdi thu\u1eadt gi\u1ea3i l\u00e0m vi\u1ec7c. \u0110\u00e2y l\u00e0 l\u00ed do t\u1ea1i sao t\u00f4i ngh\u0129 m\u1ecdi sinh vi\u00ean \u0111\u1ec1u ph\u1ea3i ph\u00e1t tri\u1ec3n nh\u1eefng k\u0129 n\u0103ng gi\u1ecfi trong t\u01b0 duy t\u00ednh to\u00e1n v\u00ec b\u1ea1n c\u1ea7n hi\u1ec3u v\u1ea5n \u0111\u1ec1 m\u00e0 b\u1ea1n mu\u1ed1n gi\u1ea3i quy\u1ebft tr\u01b0\u1edbc h\u1ebft. Kh\u00f4ng bi\u1ebft r\u00f5 v\u1ea5n \u0111\u1ec1, b\u1ea1n s\u1ebd ph\u1ea1m sai l\u1ea7m v\u00e0 s\u1ebd kh\u00f4ng c\u00f3 kh\u1ea3 n\u0103ng \u0111i v\u00e0o gi\u1ea3i ph\u00e1p. B\u1ea1n c\u1ea7n bi\u1ebft m\u1ecdi kh\u00e1i ni\u1ec7m v\u00e0 l\u00ed thuy\u1ebft v\u1ec1 H\u1ecdc m\u00e1y \u0111\u1ec3 cho b\u1ea1n c\u00f3 th\u1ec3 l\u1ef1a ch\u1ecdn thu\u1eadt gi\u1ea3i th\u00edch h\u1ee3p \u0111\u1ec3 l\u00e0m m\u00f4 h\u00ecnh cho gi\u1ea3i ph\u00e1p c\u1ee7a b\u1ea1n v\u00ec s\u1ebd c\u00f3 nhi\u1ec1u h\u01a1n m\u1ed9t gi\u1ea3i ph\u00e1p \u0111\u1ec3 gi\u1ea3i nh\u01b0ng b\u1ea1n c\u1ea7n gi\u1ea3i ch\u00fang theo c\u00e1ch t\u1ef1 \u0111\u1ed9ng hay c\u00e1ch t\u1ed1t nh\u1ea5t. \u0110i\u1ec1u \u0111\u00f3 c\u00f3 ngh\u0129a l\u00e0 b\u1ea1n s\u1ebd ph\u1ea3i chia nh\u1ecf v\u1ea5n \u0111\u1ec1 th\u00e0nh nhi\u1ec1u ph\u1ea7n nh\u1ecf \u0111\u1ec3 thu h\u1eb9p \u0111\u1ed9 ph\u1ee9c t\u1ea1p. \u0110i\u1ec1u \u0111\u00f3 c\u00f3 ngh\u0129a l\u00e0 b\u1ea1n s\u1ebd ph\u1ea3i ph\u00e2n r\u00e3 v\u1ea5n \u0111\u1ec1 th\u00e0nh nhi\u1ec1u v\u1ea5n \u0111\u1ec1 nh\u1ecf h\u01a1n v\u00e0 gi\u1ea3i quy\u1ebft t\u1eebng v\u1ea5n \u0111\u1ec1 m\u1ed7i l\u00fac. Gi\u1ea3i ph\u00e1p cho v\u1ea5n \u0111\u1ec1 n\u00e0y c\u00f3 th\u1ec3 l\u00e0 c\u00e1i v\u00e0o cho m\u1ee9c ti\u1ebfp v\u00e0 \u0111\u00f3 l\u00e0 c\u00e1ch b\u1ea1n \u0111i s\u00e2u h\u01a1n \u0111\u1ec3 gi\u1ea3i quy\u1ebft c\u00e1c v\u1ea5n \u0111\u1ec1 ph\u1ee9c t\u1ea1p.<\/p>\n
N\u1ebfu m\u1ecdi \u0111i\u1ec1u b\u1ea1n c\u1ea7n l\u00e0 vi\u1ec7c l\u00e0m t\u1ed1t, b\u1eb1ng c\u1eed nh\u00e2n s\u1ebd l\u00e0 \u0111\u1ee7 v\u00e0 ph\u1ea7n l\u1edbn c\u00e1c c\u00f4ng ti \u0111\u1ec1u \u0111ang t\u00ecm thu\u00ea ng\u01b0\u1eddi t\u1ed1t nghi\u1ec7p c\u00f3 b\u1eb1ng trong l\u0129nh v\u1ef1c Khoa h\u1ecdc m\u00e1y t\u00ednh v\u00e0 li\u00ean quan. Tuy nhi\u00ean, n\u1ebfu b\u1ea1n mu\u1ed1n l\u00e0m vi\u1ec7c trong l\u0129nh v\u1ef1c H\u1ecdc m\u00e1y v\u00e0 Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o, b\u1ea1n c\u1ea7n c\u00f3 b\u1eb1ng th\u1ea1c s\u0129 hay th\u1eadm ch\u00ed b\u1eb1ng Ti\u1ebfn s\u0129 \u0111\u1ec3 \u0111i xa h\u01a1n v\u00e0 s\u00e2u h\u01a1n v\u00e0o gi\u1ea3i quy\u1ebft c\u00e1c v\u1ea5n \u0111\u1ec1 ph\u1ee9c t\u1ea1p.<\/p>\n
<\/p>\n
—English version—<\/p>\n
<\/p>\n
The second career<\/p>\n
Last week, Gary Kolesar who graduated three years ago came back to Carnegie Mellon to visit me. Since he was an older student, I asked him to share his experience with my students. Following was what he said.<\/p>\n
<\/p>\n
\u201cWhen I went back to school to pursue a Master\u2019s degree in Artificial Intelligence (AI), I was uncomfortable because I already had a Bachelor\u2019s degree in Business and fifteen years of working experience. Even I had a good job as an accountant in a financial company but I knew that there was not much future in this field as the world has changed and sooner or later, technologies will take over. That was why I decided to return to school for another degree. I planned my second career carefully as I wanted to make sure that I will learn something that can last for a long time. I selected AI because Computer Science and related fields are growing faster and pay more than any occupation.<\/p>\n
To a person who is near forty years old to return to school is NOT easy because you are no longer young and may not fit with others who are in the early twenty. I look at other option before making my decision to go back to school. There is an option for someone like me as I could go online and learn from the Massive Open Online Courses (MOOCs.) This is a great choice and it is easier and faster. Many online courses are short, only a few weeks to a few months and as long as you work hard and follow self-discipline, you will do well. I took a few online courses from edX and Coursera and concluded that people can learn many things from MOOCs and after complete a number of courses, they can get a certificate then go looking for a job. However, MOOCs is NOT for me. I think MOOCs is great for someone who needs to have a job quickly but to develop a career for a long-term, it may not be the best solution. Of course, it is my own opinion as I know somebody may not agree with me.<\/p>\n
I decide to follow the traditional path of going back to school for a Master\u2019s degree at Carnegie Mellon. This is much longer and more expensive but having worked for many years, I save enough money for my education. I want to learn things at the deepest level to prepare for my career that could last for my entire life. The reason I choose Carnegie Mellon because it is the only school that offers a program in Artificial Intelligence at that time.\u00a0 After two years studying there, I received three job offers several months before graduation and I accepted an offer from Google. By that time, I knew that I had made the right decision to going back to school.<\/p>\n
As computer science students, you already know that most computer programs start with a programming language and basic concepts. Many students do not like the concepts and theories but prefer to learn about technologies as they are more relevant to what they will use in the industry. If you go to MOOCs, you will learn a lot about technologies and how to apply them and you can get a job easily because most of the MOOCs courses are designed that way. They help you to learn how to apply technologies quickly but NOT give you enough time to go deeper on the concepts that you are using. When I took a MOOCs course, I can do many things but still do not understand all the details. In my opinion, traditional schools degrees are focusing more on foundational theories and concepts when online courses are focused more on the technologies and the application. To get a job, MOOCs are good enough but if you want to go further and deeper, traditional schools are better.<\/p>\n
Many computer students believe knowing programming languages is good enough to get a job. Of course, most jobs require programming skills but if you want to go further and advance your career, you need to know more about math. In my opinion, math is the foundation of all computations, reasonings, and logic and to work in Artificial Intelligence and Machine Learning fields, you need to have good mathematic skills. When I was a business student, I did not like math but when I went back to school and took the \u201cIntroduction to Computer Systems\u201d course, professor Vu explained: \u201cWithout a strong skills in math, you cannot develop your computational thinking and be able to solve complex problems in AI and Machine Learning.\u201d At his encouragement, I took several math courses such as linear algebra, calculus, discrete math and statistic and I found that they helped me to learn many abstract concepts and provide me with new ways of thinking about the problems I will have to work in the industry.<\/p>\n
To work in the Artificial Intelligence field, you need strong programming skills and understand how to analyze problems, how to collect the right data, how to label them accordingly and know how all the algorithms work. This is why I think every student must develop strong skills in computational thinking because you need to understanding of the problem that you want to solve first. Without knowing the problem well, you will make mistakes and will not be able to get into the solution. You need to know all the concepts and theories about Machine learning so you can select the appropriate algorithm to model your solution because there will be more than one solution to solve but you need to solve them in an automatic way or the best way. That means you will have to break down the problem into many small parts to reduce complexity. That means you will have to decompose a problem into many smaller ones and solve one problem at a time. The solution to one problem can be input to the next level and that is how you go deeper to solve complex problems.<\/p>\n
If all you need is a good job, a Bachelor\u2019s degree would be sufficient and most companies are looking to hire graduates with a degree in Computer Science and related fields. However, if you want to work in Machine Learning and Artificial Intelligence field, you need to get a Master or even a Ph.D. degree to go further and deeper to solve complex problems.<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Tu\u1ea7n tr\u01b0\u1edbc, Gary Kolesar ng\u01b0\u1eddi \u0111\u00e3 t\u1ed1t nghi\u1ec7p ba n\u0103m tr\u01b0\u1edbc quay l\u1ea1i Carnegie Mellon \u0111\u1ec3 th\u0103m t\u00f4i. V\u00ec anh \u1ea5y l\u00e0 sinh vi\u00ean l\u1edbn … <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18],"tags":[],"class_list":["post-6150","post","type-post","status-publish","format-standard","hentry","category-loi-khuyen-cho-sinh-vien"],"_links":{"self":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/6150","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=6150"}],"version-history":[{"count":1,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/6150\/revisions"}],"predecessor-version":[{"id":6151,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/6150\/revisions\/6151"}],"wp:attachment":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6150"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6150"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6150"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}