"Probabilistic Machine Learning: An Introduction"

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Book	Author(s)	Year	Publisher
Probabilistic Machine Learning: An Introduction	Kevin P. Murphy	2021	The MIT Press
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)	Kevin P. Murphy	2022	The MIT Press
Machine learning: a probabilistic perspective	Kevin P Murphy	2012	MIT Press
Machine learning: a probabilistic perspective /	Murphy, Kevin P.,	©2012.	MIT Press,
Probabilistic Numerics: Computation as Machine Learning	Philipp Hennig; Michael A. Osborne; Hans P. Kersting	2022-06	Cambridge University Press
Probabilistic Machine Learning for Civil Engineers	James-A Goulet	April 14, 2020	The MIT Press
An Introduction to Machine Learning	Miroslav Kubat	2nd ed. 2017	Springer International Publishing
An Introduction to Machine Learning	Gopinath Rebala; Ajay Ravi; Sanjay Churiwala	1st ed. 2019	Springer International Publishing
An Introduction to Machine Learning	Miroslav Kubat	3rd ed. 2021	Springer International Publishing
An Introduction to Machine Learning	Miroslav Kubat (auth.)	2015	Springer International Publishing
An Introduction to Machine Learning	Miroslav Kubat	1st ed. 2015	Springer International Publishing
Machine Learning: An Applied Mathematics Introduction	Paul Wilmott	2019	Panda Ohana Publishing
Machine learning. An applied mathematics introduction	Wilmott, Paul	2019	Panda Ohana
An Introduction to Machine Learning Interpretability	Navdeep Gill, Patrick Hall	2018	O’Reilly Media, Inc.
Introduction to Machine Learning	Ethem Alpaydin	2010	MIT Press
Introduction to Machine Learning	Ethem Alpaydin	2014	MIT Press
Introduction to Machine Learning	Yves Kodratoff	1989	Morgan Kaufmann
Introduction to Machine Learning	Alex Smola, S.V.N. Vishwanathan
Introduction to Machine Learning	Yves Kodratoff	December 1988	Trans-Atlantic Publications
Introduction to machine learning /	Alpaydin, Ethem.	[2004], ©2004.	MIT Press,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Machine Learning: An Introduction	Sayan Putatunda	Advances in Analytics and Applications	Arnab Kumar Laha	1st ed. 2019	Springer Nature Singapore
An Introduction to Machine Learning	Mark A. Norrie	Data Analytics: Concepts, Techniques, and Applications	Mohiuddin Ahmed; Al-Sakib Khan Pathan	2018	Routledge
An Introduction to Machine Learning	Diego Oliva; Erik Cuevas	Advances and Applications of Optimised Algorithms in Image Processing	Diego Oliva; Erik Cuevas	1st ed. 2017	Springer International Publishing
An introduction to machine learning		Python Machine Learning By Example	Yuxi Liu	2020	Packt Publishing, Limited
An Introduction to Machine Learning	Hichem Sahli	TORUS 1 - Toward an Open Resource Using Services - Cloud Computing for Environmental Data	Dominique Laffly	2020	John Wiley & Sons
Probabilistic Modeling in Machine Learning	Davide Bacciu; Paulo J.G. Lisboa; Alessandro Sperduti; Thomas Villmann	Springer Handbook of Computational Intelligence	Janusz Kacprzyk; Witold Pedrycz	2015	Springer Berlin Heidelberg
Probabilistic Methods and Machine Learning	Paul G. Higgs; Teresa K. Attwood	Bioinformatics and Molecular Evolution	Paul G. Higgs	2005	John Wiley & Sons
An introduction to machine learning methods	Alan H. Fielding	Machine Learning Methods for Ecological Applications	Alan H. Fielding	1999	Springer US
Chapter 1: Machine Learning – An Introduction		Python Deep Learning	Valentino Zocca; Gianmario Spacagna; Daniel Slater; Peter Roelants	2017	Packt Publishing - ebooks Account
An Introduction to Adversarial Machine Learning	Atul Kumar; Sameep Mehta; Deepak Vijaykeerthy	Big Data Analytics: 5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings	P. Krishna Reddy; Ashish Sureka; Sharma Chakravarthy; Subhash Bhalla	1st ed. 2017	Springer International Publishing
Machine Learning for Text: An Introduction	Charu C. Aggarwal	Machine Learning for Text	Charu C. Aggarwal	1st ed. 2018	Springer International Publishing
Machine Learning: An Applied Mathematics Introduction	Paul Wilmott	Machine Learning and the City - Applications inarchitecture and urban design	Silvio Carta	2022	John Wiley & Sons
21 - Probabilistic models in machine learning		Probability, Random Processes, and Statistical Analysis: Applications to Communications, Signal Processing, Queueing Theory and Mathematical Finance	Hisashi Kobayashi; Brian L. Mark; William Turin	2011-12	Cambridge University Press
Probabilistic Feature Selection in Machine Learning	Indrajit Ghosh	Artificial Intelligence and Soft Computing: 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part I	Leszek Rutkowski; Rafał Scherer; Marcin Korytkowski; Witold Pedrycz; Ryszard Tadeusiewicz; Jacek M. Zurada	1st ed. 2018	Springer International Publishing
Machine-Learning Foundations: The Probabilistic Framework		Bioinformatics, second edition: The Machine Learning Approach	Pierre Baldi; Søren Brunak	2001	MIT Press
Machine Learning Foundations: The Probabilistic Framework		Bioinformatics: the machine learning approach /	Baldi, Pierre.; Brunak, Søren.	©1998.	MIT Press,
1 Machine Learning: An Introduction to Reinforcement Learning		Machine Learning and Data Science: Fundamentals and Applications	Prateek Agrawal (editor), Charu Gupta (editor), Anand Sharma (editor), Vishu Madaan (editor), Nisheeth Joshi (editor)	2022	Wiley-Scrivener
Probabilistic Models: An Introduction		Textual Information Access: Statistical Models	Eric Gaussier	2012	John Wiley & Sons
An uncertainty-aware hybrid modelling approach using probabilistic machine learning	Rasmus Fjordbak Nielsen; Nima Nazemzadeh; Martin Peter Andersson; Krist V. Gernaey; Seyed Soheil Mansouri	31 European Symposium on Computer Aided Process Engineering	Metin Türkay; Rafiqul Gani	2021	Elsevier
Emerging Paradigms in Machine Learning: An Introduction	Sheela Ramanna; Lakhmi C. Jain; Robert J. Howlett	Emerging Paradigms in Machine Learning	Sheela Ramanna; Lakhmi C Jain; Robert J. Howlett	2013	Springer Berlin Heidelberg
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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