HOW TO FINE-TUNE BAYESIAN NETWORKS FOR CLASSIFICATION
-
- 8,49 €
-
- 8,49 €
Description de l’éditeur
This book covers in the first part the theoretical aspects of Bayesian networks and their functionality, and then based on the discussed concepts it explains how to find-tune a Bayesian network to yield highly accurate prediction results which are adaptable to any classification tasks. The introductory part is extremely beneficial to someone new to learning Bayesian networks, while the more advanced notions are useful for everyone who wants to understand the mathematics behind Bayesian networks and how to find-tune them in order to generate the best predictive performance of a certain classification model.
GENRE
Informatique et Internet
SORTIE
2020
19 août
LANGUE
EN
Anglais
LONGUEUR
58
Pages
ÉDITIONS
GAER Publishing House
TAILLE
431,4
Ko
Plus de livres similaires
BAYESIAN NETWORKS FOR CHURN PREDICTION IN THE MOBILE TELECOMMUNICATIONS INDUSTRY
2020
SUPORT VECTOR MACHINES FOR CHURN PREDICTION IN THE MOBILE TELECOMMUNICATIONS INDUSTRY
2020
NEURAL NETWORKS FOR CHURN PREDICTION IN THE MOBILE TELECOMMUNICATIONS INDUSTRY
2020
Machine Learning
2012
Machine Learning
2018
Introduction to Machine Learning, fourth edition
2020
Plus de livres par Ionut B. Brandusoiu
BAYESIAN NETWORKS FOR CHURN PREDICTION IN THE MOBILE TELECOMMUNICATIONS INDUSTRY
2020
SUPORT VECTOR MACHINES FOR CHURN PREDICTION IN THE MOBILE TELECOMMUNICATIONS INDUSTRY
2020
NEURAL NETWORKS FOR CHURN PREDICTION IN THE MOBILE TELECOMMUNICATIONS INDUSTRY
2020
HOW TO FINE-TUNE SUPPORT VECTOR MACHINES FOR CLASSIFICATION
2020
HOW TO FINE-TUNE NEURAL NETWORKS FOR CLASSIFICATION
2020