Probabilistic Graphical Models : Principles and Aplications /

Furkejuvvon:

Bibliográfalaš dieđut
Váldodahkki:	Sucar, Luis Enrique (autor)
Eará dahkkit:	Nicholson, Ann E. (prólogo) (prólogo)
Materiálatiipa:	Girji
Giella:	eaŋgalasgiella
Almmustuhtton:	Londres, Inglaterra : Springer, 2015, c2015
Ráidu:	(Advances in Computer Vision and Pattern Recognition)
Fáttát:	Aprendizaje Automático (Inteligencia Artificial) Inteligencia Artificial Proceso de Datos Métodos Gráficos Modelos Matemáticos - > Tema Principal Toma de Decisiones - > Teoría Estadística Bayesiana Estadística Probabilidad - > Tema Principal Matemáticas
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid: Probabilistic Graphical Models :

Njuolggogeahčasteapmi
Probabilistic Graphical Models : Principles and Aplications /
Njuolggogeahčasteapmi
Probabilistic Graphical Models : Principles and Techniques /
Njuolggogeahčasteapmi
Probabilistic Machine Learning : An Introduction /
Njuolggogeahčasteapmi
Bayesian Artificial Intelligence /
Njuolggogeahčasteapmi
Probabilistic Machine Learning : Advanced Topics /
Njuolggogeahčasteapmi
Bayesian Reasoning and Gaussian Processes for Machine Learning Applications /
Njuolggogeahčasteapmi
Machine Learning : A Bayesian and Optimization Perspective /
Njuolggogeahčasteapmi
A First Course in Machine Learning /
Njuolggogeahčasteapmi
Bayesian Networks with Examples in R /
Njuolggogeahčasteapmi
Bayesian Networks with Examples in R /
Njuolggogeahčasteapmi
Statistical Inference : an Integrated Approach /
Njuolggogeahčasteapmi
Modern Time Series Forecasting with Python : Explore Industry-Ready Time Series Forecasting Using Modern Machine Learning and Deep Learning /
Njuolggogeahčasteapmi
Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference /
Njuolggogeahčasteapmi
An Introduction to Machine Learning /
Njuolggogeahčasteapmi
Gaussian Processes for Machine Learning /
Njuolggogeahčasteapmi
Statistical and Machine-Learning Data Mining : Techniques for Better Predictive Modeling and Analysis of Big Data /
Njuolggogeahčasteapmi
Statistical and Machine-Learning Data Mining : Techniques for Better Predictive Modeling and Analysis of Big Data /
Njuolggogeahčasteapmi
Statistical and Machine-Learning Data Mining : Techniques for Better Predictive Modeling and Analysis of Big Data /
Njuolggogeahčasteapmi
Machine Learning : Hands-on for Developers and Technical Professionals /
Njuolggogeahčasteapmi
Algorithmic Learning Theory : 24th International Conference, ALT 2013 Singapore, October 6-9, 2013 Proceedings /
Njuolggogeahčasteapmi
The Nature of Statiscal Learning Theory /
Njuolggogeahčasteapmi
Estimation of Dependences Based on Empirical Data /
Njuolggogeahčasteapmi
Algorithmic Learning Theory : 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012 : Proceedings /
Njuolggogeahčasteapmi
An Introduction to Generalized Linear Models /