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BAYESIAN REASONING AND MACHINE LEARNING /

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Bibliográfalaš dieđut
Váldodahkki:	BARBER, DAVID
Materiálatiipa:	Girji
Giella:	eaŋgalasgiella
Almmustuhtton:	New Delhi : Cambridge University Press
Fáttát:	COMPUTER SCIENCE
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid

BAYESIAN REASONING AND MACHINE LEARNING /
Dahkki: BARBER, DAVID

BAYESIAN REASONING AND MACHINE LEARNING /
Dahkki: BARBER, DAVID

NEURAL NETWORKS AND LEARNING MACHINES /
Dahkki: HAYKIN, SIMON
Almmustuhtton: (2009)

NEURAL NETWORKS AND LEARNING MACHINES /
Dahkki: HAYKIN, SIMON
Almmustuhtton: (2009)

NEURAL NETWORKS AND LEARNING MACHINES /
Dahkki: HAYKIN, SIMON
Almmustuhtton: (2009)

Machine learning :
Dahkki: Murphy, Kevin P.
Almmustuhtton: (2012)

Machine learning
Dahkki: Murphy, Kevin P
Almmustuhtton: (2012)

Bayesian Scientific Computing
Dahkki: Calvetti, Daniela, et al.
Almmustuhtton: (2023)

Machine Learning in Bioinformatics : An introduction to machine learning methods and their applications to problems in bioinformatics /
Dahkki: Quing,Yan
Almmustuhtton: (2009)

Machine Learning in Bioinformatics An introduction to machine learning methods and their applications to problems in bioinformatics
Dahkki: Quing,Yan
Almmustuhtton: (2009)

Data Science and Machine Learning Using Python/
Dahkki: Thareja
Almmustuhtton: (2025)

Machine Learning using Python /
Dahkki: Pradhan, Manaranjan
Almmustuhtton: (2022)

Machine Learning using Python
Dahkki: Pradhan, Manaranjan
Almmustuhtton: (2022)

Machine Learning with R : Learn how to Use R to Apply Powerful Machine Learning Methods and Gain an Insight Into Real-world Applications /
Dahkki: Lantz,Brett
Almmustuhtton: (2013)

Machine Learning with R Learn how to Use R to Apply Powerful Machine Learning Methods and Gain an Insight Into Real-world Applications
Dahkki: Lantz,Brett
Almmustuhtton: (2013)

Bayesian methods for the physical learning from examples in
Dahkki: Andreon, Stefano
Almmustuhtton: (2015)

Machine Learning, Deep Learning and AI for Cybersecurity
Almmustuhtton: (2025)

Machine Learning and Soft Computing 9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24–26, 2025, Revised Selected Papers, Part II /
Almmustuhtton: (2025)

Introduction to machine learning with Python :
Dahkki: Müller, Andreas C.
Almmustuhtton: (2016)

Introduction to machine learning with Python
Dahkki: Müller, Andreas C
Almmustuhtton: (2016)

Machine Learning : Theory and Applications /
Dahkki: Govindaraja,V
Almmustuhtton: (2013)

Machine Learning Theory and Applications
Dahkki: Govindaraja,V
Almmustuhtton: (2013)

Machine Learning, Deep Learning, and Blockchain Fourth International Research Conference, IRCICD 2023, Chennai, India, April 28–29, 2023, Proceedings /
Almmustuhtton: (2025)

Bayesian Tensor Decomposition for Signal Processing and Machine Learning Modeling, Tuning-Free Algorithms, and Applications /
Dahkki: Cheng, Lei, et al.
Almmustuhtton: (2023)

Neuro Symbolic Reasoning and Learning
Dahkki: Shakarian, Paulo, et al.
Almmustuhtton: (2023)

Metaheuristics for Machine Learning New Advances and Tools /
Almmustuhtton: (2023)

Pattern recognition and machine learning /
Dahkki: Bishop, Christopher M.
Almmustuhtton: (2006)

Pattern recognition and machine learning
Dahkki: Bishop, Christopher M
Almmustuhtton: (2006)

Artificial Intelligence and Machine Learning in Sports Science
Almmustuhtton: (2025)

Representation in Machine Learning
Dahkki: Murty, M. N., et al.
Almmustuhtton: (2023)

Machine Learning /
Dahkki: Dutt Saikat

Machine Learning /
Dahkki: Dutt Saikat

Machine Learning /
Dahkki: Dutt Saikat

Statistical Machine Learning for Engineering with Applications
Almmustuhtton: (2024)

Quantum Machine Learning Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing /
Dahkki: Conti, Claudio
Almmustuhtton: (2024)

Machine Learning with Python Theory and Implementation /
Dahkki: Zollanvari, Amin
Almmustuhtton: (2023)

Applications of Machine Learning in Hydroclimatology
Dahkki: Srivastav, Roshan, et al.
Almmustuhtton: (2025)

Machine Learning in Clinical Neuroimaging 7th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings /
Almmustuhtton: (2025)

Machine Learning for Materials Discovery Numerical Recipes and Practical Applications /
Dahkki: Krishnan, N. M. Anoop, et al.
Almmustuhtton: (2024)

Bayesian Compendium
Dahkki: van Oijen, Marcel
Almmustuhtton: (2024)