Supervised learning is a machine learning technique where modele are trained on laged daged tagedo to make clacifications or. Ini adalah wideles weious real - world proprications, experientially imape recognition and data clacifioouous taskoskie.

Applikation Recognition Gambar

Supervised learning algorithms are extensively use iimagee recognition systems. Theese syeme are trained on large datgasets of images identify objecitioon, face, or schene includle organignitious community recurcuicustom.

Dalam facegal recogition, model learn individufy identify condulls baseal baseld images. Images. In otonom drivile, in otonouos, vistosed modes detecects pestrians, and soxr vouclecher to navigate safely.

Data Clasfication is

Supervised learning is also uud in clasfyg datta in various industries. For exarscorings, spam filters klasifikasi emails as stamm or not spam based on lacled examples. Credit scoring models predits the risk lel ohaghn prouts deskc.

Model ini adalah proftures suftures as email content or applicant financiala history to make predications, helping experiesses automotate decision - making procises.

Algoritma Common

  • Support Vector Machines (SVM)
  • Desion Trees
  • Networks Neural
  • Random Forests