Views<\/p>\n
Gi\u1edbi thi\u1ec7u kh\u00f3a h\u1ecdc: “Python cho AI – T\u1eeb s\u1ed1 0 th\u00e0nh ng\u01b0\u1eddi h\u00f9ng”
Kh\u00f3a h\u1ecdc
“Python cho AI – T\u1eeb s\u1ed1 0 th\u00e0nh ng\u01b0\u1eddi h\u00f9ng”
l\u00e0 l\u1ef1a ch\u1ecdn ho\u00e0n h\u1ea3o cho nh\u1eefng ai mu\u1ed1n b\u1eaft \u0111\u1ea7u h\u00e0nh tr\u00ecnh l\u1eadp tr\u00ecnh v\u1edbi m\u1ed9t ng\u00f4n ng\u1eef v\u1eeba d\u1ec5 h\u1ecdc, v\u1eeba m\u1ea1nh m\u1ebd. Python kh\u00f4ng ch\u1ec9 l\u00e0 n\u1ec1n t\u1ea3ng quan tr\u1ecdng trong l\u0129nh v\u1ef1c
tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI)
m\u00e0 c\u00f2n \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng r\u1ed9ng r\u00e3i trong khoa h\u1ecdc d\u1eef li\u1ec7u, ph\u00e1t tri\u1ec3n ph\u1ea7n m\u1ec1m v\u00e0 h\u1ecdc m\u00e1y.
Nh\u1eefng \u0111i\u1ec3m n\u1ed5i b\u1eadt c\u1ee7a kh\u00f3a h\u1ecdc:
N\u1eafm v\u1eefng n\u1ec1n t\u1ea3ng Python:
T\u1eeb c\u00e0i \u0111\u1eb7t m\u00f4i tr\u01b0\u1eddng, bi\u1ebfn, ki\u1ec3u d\u1eef li\u1ec7u, c\u1ea5u tr\u00fac \u0111i\u1ec1u ki\u1ec7n, v\u00f2ng l\u1eb7p, \u0111\u1ebfn l\u1eadp tr\u00ecnh h\u01b0\u1edbng \u0111\u1ed1i t\u01b0\u1ee3ng (OOP).
Th\u00e0nh th\u1ea1o c\u00f4ng c\u1ee5 x\u1eed l\u00fd d\u1eef li\u1ec7u:
S\u1eed d\u1ee5ng th\u01b0 vi\u1ec7n
NumPy
,
Pandas
, v\u00e0 c\u00e1c c\u00f4ng c\u1ee5 tr\u1ef1c quan h\u00f3a nh\u01b0
Matplotlib
,
Seaborn
.
Kh\u00e1m ph\u00e1 AI v\u00e0 h\u1ecdc m\u00e1y:
L\u00e0m quen v\u1edbi
Scikit-learn
, x\u00e2y d\u1ef1ng c\u00e1c m\u00f4 h\u00ecnh d\u1ef1 \u0111o\u00e1n v\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u th\u1ef1c t\u1ebf.
D\u1ef1 \u00e1n th\u1ef1c t\u1ebf:
\u00c1p d\u1ee5ng ki\u1ebfn th\u1ee9c \u0111\u1ec3 gi\u1ea3i quy\u1ebft c\u00e1c b\u00e0i to\u00e1n th\u1ef1c ti\u1ec5n nh\u01b0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u, ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n, v\u00e0 d\u1ef1 \u0111o\u00e1n gi\u00e1 tr\u1ecb.
Kh\u00f3a h\u1ecdc \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf v\u1edbi l\u1ed9 tr\u00ecnh b\u00e0i b\u1ea3n, t\u1eeb c\u01a1 b\u1ea3n \u0111\u1ebfn n\u00e2ng cao, ph\u00f9 h\u1ee3p cho c\u1ea3 ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u. V\u1edbi s\u1ef1 h\u1ed7 tr\u1ee3 c\u1ee7a c\u00e1c b\u00e0i gi\u1ea3ng chi ti\u1ebft v\u00e0 c\u00e1c v\u00ed d\u1ee5 th\u1ef1c ti\u1ec5n, b\u1ea1n s\u1ebd nhanh ch\u00f3ng t\u1ef1 tin chinh ph\u1ee5c Python v\u00e0 \u1ee9ng d\u1ee5ng n\u00f3 trong l\u0129nh v\u1ef1c AI.
H\u00e3y \u0111\u1ec3 kh\u00f3a h\u1ecdc n\u00e0y bi\u1ebfn b\u1ea1n t\u1eeb ng\u01b0\u1eddi m\u1edbi th\u00e0nh “ng\u01b0\u1eddi h\u00f9ng” trong th\u1ebf gi\u1edbi l\u1eadp tr\u00ecnh Python v\u00e0 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o!
B\u1ea1n s\u1ebd \u0111\u01b0\u1ee3c h\u1ecdc:
Sinh vi\u00ean c\u00e1c chuy\u00ean ng\u00e0nh kh\u00e1c nhau mu\u1ed1n t\u00ecm hi\u1ec3u v\u1ec1 Python v\u00e0 AI
Sinh vi\u00ean chuy\u00ean ng\u00e0nh C\u00f4ng ngh\u1ec7 th\u00f4ng tin v\u00e0 ph\u1ea7n m\u1ec1m
Ng\u01b0\u1eddi \u0111i l\u00e0m mu\u1ed1n t\u00ecm hi\u1ec3u v\u1ec1 Python v\u00e0 AI
H\u1ecdc sinh c\u1ea5p 2 v\u00e0 c\u1ea5p 3 mu\u1ed1n t\u00ecm hi\u1ec3u v\u1ec1 Python v\u00e0 AI<\/p>\n
Link g\u1ed1c:<\/p>\n
https:\/\/www.udemy.com\/course\/python-cho-ai-tu-so-0-thanh-nguoi-hung\/<\/p>\n
Time Course:
2.5 gi\u1edd (36 B\u00e0i gi\u1ea3ng + T\u00e0i li\u1ec7u)<\/p>\n
Instructor
: Thanh Nguyen
Total Weight:
964.12 MB
** Note
: \u00a0<\/p>\n
Ch\u00fa \u00fd:<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
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