Pattern Recognition and Machine Learning

GPTKB entity

Predicate	Object
gptkbp:instance_of	gptkb:book
gptkbp:author	gptkb:Christopher_M._Bishop
gptkbp:covers	gptkb:cloud_computing gptkb:robotics gptkb:AI_technology gptkb:Support_vector_machines Autonomous systems Big data Clustering Data mining Deep learning Natural language processing Time series analysis Computer vision Human-computer interaction Social network analysis Data visualization Overfitting Underfitting Anomaly detection Regularization Neural networks Pattern recognition Cross-validation Transfer learning Ethics in AI Information retrieval AI safety Model evaluation Bayesian networks Supervised learning Markov models Feature selection Active learning Recommendation systems Statistical learning theory AI governance Semi-supervised learning Dimensionality reduction Ensemble methods Kernel methods Hidden Markov models Reinforcement learning Unsupervised learning Non-parametric methods Graphical models Probabilistic models Decision trees Graph analysis
gptkbp:field	gptkb:machine_learning Statistics
https://www.w3.org/2000/01/rdf-schema#label	Pattern Recognition and Machine Learning
gptkbp:isbn	978-0387310732
gptkbp:language	English
gptkbp:pages	482
gptkbp:published_year	gptkb:2006
gptkbp:publisher	gptkb:Springer
gptkbp:bfsParent	gptkb:Chris_Bishop gptkb:Deep_Learning gptkb:CS221:_Artificial_Intelligence
gptkbp:bfsLayer	4