Mots-clés
machine learning
unsupervised ml
artificial intelligence
ai cloud
ai opportunities
ai research
ai
supervised learning
model tradeoff
deep learning
data segmentation
classical ml
route table statistics
unsupervised machine learning
route stability prediction
k-means clustering
anomaly detection
traffic trends prediction
feature engineering
system performance classification
network operating system
crisp-dm
relational database
network security
modular swicth
edge
switching
mac address
asic
networking
Tout plus
Présentations
(4)J’aime
(1)Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez
•
il y a 6 ans
Mots-clés
machine learning
unsupervised ml
artificial intelligence
ai cloud
ai opportunities
ai research
ai
supervised learning
model tradeoff
deep learning
data segmentation
classical ml
route table statistics
unsupervised machine learning
route stability prediction
k-means clustering
anomaly detection
traffic trends prediction
feature engineering
system performance classification
network operating system
crisp-dm
relational database
network security
modular swicth
edge
switching
mac address
asic
networking
Tout plus