"The Statistical Physics of Data Assimilation and Machine Learning"

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Book	Author(s)	Year	Publisher
The Statistical Physics of Data Assimilation and Machine Learning	Henry D. I. Abarbanel	2022-02	Cambridge University Press
Physics of Data Science and Machine Learning	Ijaz A. Rauf	2021	Routledge
Data Science and Machine Learning: Mathematical and Statistical Methods	Dirk P. Kroese; Zdravko I. Botev; Thomas Taimre; Radislav Vaisman	2019	Routledge
Data-Driven Computational Neuroscience: Machine Learning and Statistical Models	Concha Bielza; Pedro Larrañaga	2020-11	Cambridge University Press
Gene Expression Data Analysis: A Statistical and Machine Learning Perspective	Pankaj Barah; Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2021	Routledge
Essentials of Data Science and Analytics: Statistical Tools, Machine Learning, and R-Statistical Software Overview	Sahay. Amar (author)	2021	Business Expert Press
Machine Learning and Data Mining	I. Kononenko and M. Kukar	2007	Woodhead Publishing
Dynamics On and Of Complex Networks III: Machine Learning and Statistical Physics Approaches	Fakhteh Ghanbarnejad; Rishiraj Saha Roy; Fariba Karimi; Jean-Charles Delvenne; Bivas Mitra	1st ed. 2019	Springer International Publishing
Statistical Learning and Data Science	Mireille Gettler Summa; Leon Bottou; Bernard Goldfarb; Fionn Murtagh; Catherine Pardoux; Myriam Touati	2012	Routledge
Machine learning, neural and statistical classification /	Michie, Donald.; Spiegelhalter, D. J.; Taylor, C. C.,	1994.	Prentice Hall,
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization	Matt Wiley; Joshua F. Wiley	1st ed.	Apress
Statistical Learning of Complex Data	Francesca Greselin; Laura Deldossi; Luca Bagnato; Maurizio Vichi	1st ed. 2019	Springer International Publishing
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data	Bruce Ratner	2017	Routledge
Statistical and machine-learning data mining: techniques for better predictive modeling and analysis of big data /	Ratner, Bruce,; Ratner, Bruce.		Taylor & Francis Group
Introduction to Statistical Machine Learning	Masashi Sugiyama	2016	Morgan Kaufmann
Statistical Methods for Machine Learning	Jason Brownlee	0
Statistical Reinforcement Learning: Modern Machine Learning Approaches	Masashi Sugiyama	2015	Routledge
Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Encyclopedia of Machine Learning and Data Science	Dinh Phung; Geoffrey I. Webb; Claude Sammut	0th ed. 2020	Springer US
Data Mining and Machine Learning Applications	Kapil Kumar Nagwanshi; Rohit Raja; Sandeep Kumar; K. Ramya Laxmi	2022	John Wiley & Sons
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
7 - Statistical physics and machine learning		Phase Transitions in Machine Learning	Lorenza Saitta; Attilio Giordana; Antoine Cornuéjols	2011-06	Cambridge University Press
8 - Machine Learning and Its Equivalence to Statistical Data Assimilation		The Statistical Physics of Data Assimilation and Machine Learning	Henry D. I. Abarbanel	2022-02	Cambridge University Press
Effective Data Assimilation with Machine Learning	Rossella Arcucci	Data Science and Big Data Analytics in Smart Environments	Marta Chinnici; Florin Pop; Cătălin Negru	2021	Routledge
Statistical Physics of Learning		Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Statistical Physics Of Learning		Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
Machine and Statistical Learning	Vicenç Torra	Data Privacy: Foundations, New Developments and the Big Data Challenge	Vicenç Torra	1st ed. 2017	Springer International Publishing
Machine Learning for Targeted Assimilation of Satellite Data	Yu-Ju Lee; David Hall; Jebb Stewart; Mark Govett	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III	Ulf Brefeld; Edward Curry; Elizabeth Daly; Brian MacNamee; Alice Marascu; Fabio Pinelli; Michele Berlingerio; Neil Hurley	1st ed. 2019	Springer International Publishing
Statistical Machine Learning	Masashi Sugiyama	Introduction to Statistical Machine Learning	Masashi Sugiyama	2016	Morgan Kaufmann
Statistical (Machine) Learning	Andrew F. Siegel; Michael R. Wagner	Practical Business Statistics(Eighth Edition)	Andrew Siegel andMichael Wagner	2022	Academic Press
Statistical machine learning		Practical statistics for data scientists: 50 essential concepts /	Bruce, Peter C.,; Bruce, Andrew,		O'Reilly Media, Inc.
Statistical machine learning		Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics	Max A. Little	2019	Oxford University Press
Statistical Physics of Learning and Generalization	Wolfgang Kinzel	Adaptivity and Learning: An Interdisciplinary Debate	Reimer Kühn; Randolf Menzel; Wolfram Menzel; Ulrich Ratsch; Michael M. Richter; Ion-Olimpiu Stamatescu	2003	Springer Berlin Heidelberg
Machine Learning and particle physics		A Day at CERN: Guided Tour Through the Heart of Particle Physics	Gautier Depambour	2020	World Scientific Publishing Co
Forewords: Machine Learning and Physics	Akinori Tanaka; Akio Tomiya; Koji Hashimoto	Deep Learning and Physics	Akinori Tanaka; Akio Tomiya; Koji Hashimoto	1st ed. 2021	Springer Nature Singapore
General Formulation of Statistical Data Assimilation	Henry D. I. Abarbanel	Predicting the Future: Completing Models of Observed Complex Systems	Henry Abarbanel	2013	Springer New York
Statistical Foundations and Machine Learning	Pankaj Barah; Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	Gene Expression Data Analysis: A Statistical and Machine Learning Perspective	Pankaj Barah; Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2021	Routledge
Machine Learning and Statistical Modeling		Machine Learning and Statistical Modeling Approaches to Image Retrieval	Yixin Chen; Jia Li; James Z. Wang	2004	Springer US
I Statistical and Machine Learning		Statistical Learning and Data Science	Mireille Gettler Summa; Leon Bottou; Bernard Goldfarb; Fionn Murtagh; Catherine Pardoux; Myriam Touati	2012	Routledge
Statistical and Machine Learning Models		The Statistics and Calculus with Python Workshop: A comprehensive introduction to mathematics in Python for artificial intelligence applications	Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, Alexander Joseph Sarver, Marios Tsatsos	2020	Packt Publishing
Machine Learning and Statistical Science""		Machine Learning for Developers.	Bonnin, Rodolfo	2017	Packt Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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