"Data-Driven Computational Neuroscience: Machine Learning and Statistical Models"

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Book	Author(s)	Year	Publisher
Data-Driven Computational Neuroscience: Machine Learning and Statistical Models	Concha Bielza; Pedro Larrañaga	2020-11	Cambridge University Press
Advanced Data Analysis in Neuroscience: Integrating Statistical and Computational Models	Daniel Durstewitz	1st ed. 2017	Springer International Publishing
Computational Trust Models and Machine Learning	Xin Liu; Anwitaman Datta; Ee-Peng Lim	2014	Routledge
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization	Matt Wiley; Joshua F. Wiley	1st ed.	Apress
Data Science and Machine Learning: Mathematical and Statistical Methods	Dirk P. Kroese; Zdravko I. Botev; Thomas Taimre; Radislav Vaisman	2019	Routledge
Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science	Yaochu Jin; Handing Wang; Chaoli Sun	1st ed. 2021	Springer International Publishing
Data-driven business models	Alan Weber	2005	Thomson
Data-driven business models /	Weber, Alan.	[2005], ©2005.	Thomson,
The Statistical Physics of Data Assimilation and Machine Learning	Henry D. I. Abarbanel	2022-02	Cambridge University Press
Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods	Uwe Engel; Anabel Quan-Haase; Sunny Liu; Lars Lyberg	2021	Routledge
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control	Steven L. Brunton; J. Nathan Kutz	2019-02	Cambridge University Press
Statistical Regression and Classification: From Linear Models to Machine Learning	Norman Matloff	2017	Routledge
Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches	Amanda Hering; Fouzi Harrou; Muddu Madakyaru; Ying Sun andabdelkader Dairi	2020	Elsevier
Gene Expression Data Analysis: A Statistical and Machine Learning Perspective	Pankaj Barah; Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2021	Routledge
Data,models,and statistical analysis	R. A. Cooper	1983	Barnes & Noble Books
Computational Models of Learning	Leonard Bolc	1987	Springer Berlin Heidelberg
Computational models of learning /	Bolc, Leonard,; Bradshaw, G. L.	1987.	Springer-Verlag,
Group Processes: Data-Driven Computational Approaches	Andrew Pilny; Marshall Scott Poole	1st ed. 2017	Springer International Publishing
Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics	Max A. Little	2019	Oxford University Press
Android Malware Detection using Machine Learning: Data-Driven Fingerprinting and Threat Intelligence	ElMouatez Billah Karbab; Mourad Debbabi; Abdelouahid Derhab; Djedjiga Mouheb	1st ed. 2021	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Data-Driven and Statistical Models	Yoram Vodovotz; Gary An	Translational Systems Biology	Yoram Vodovotz and Gary An	2015	Academic Press
Statistical/machine learning models		Hands-On Ensemble Learning with R: A beginner's guide to combining the power of machine learning algorithms using ensemble techniques	Prabhanjan Narayanachar Tattar	2018	Packt Publishing Limited
Statistical/machine learning models		Hands-on Ensemble Learning with R	Prabhanjan Narayanachar Tattar	2018	Packt
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 versus statistical models		Hands-On Deep Learning for Finance: Implement deep learning techniques and algorithms to create powerful trading strategies	Luigi Troiano, Arjun Bhandari, Elena Mejuto Villa	2020	Packt Publishing
Developing a Data Driven System for Computational Neuroscience	Ross Snider; Yongming Zhu	Computational Science — ICCS 2004: 4th International Conference, Kraków, Poland, June 6–9, 2004, Proceedings, Part III	Marian Bubak; Geert Dick van Albada; Peter M.A. Sloot; Jack Dongarra	2004	Springer Berlin Heidelberg
Statistical Computational Learning	Antoine Cornuejols; Frédéric Koriche; Richard Nock	A Guided Tour of Artificial Intelligence Research: Volume I: Knowledge Representation, Reasoning and Learning	Pierre Marquis; Odile Papini; Henri Prade	1st ed. 2020	Springer International Publishing
Machine Learning Models in Smart Cities – Data-Driven Perspective	Seyed Mahdi Miraftabzadeh; Michela Longo; Federica Foiadelli	Internet of Energy for Smart Cities: Machine Learning Models and Techniques	Anish Jindal; Neeraj Kumar; Gagangeet Singh Aujla	2021	Routledge
Machine Learning Versus Traditional Statistical Models		Principles of clinical cancer research	Loren K. Mell, MD, Phuoc T. Tran, MD, PhD, James B. Yu, MD, MHS, Qiang (Ed) Zhang, PhD	2019	Springer Publishing Company
Computational learning (machine learning)		Biosignal Processing and Classification Using Computational Learning and Intelligence	Alejandro Torres-García; Carlos Reyes Garcia; Luis Villasenor-Pineda and Omar Mendoza-Montoya	2022	Academic Press
Data driven approaches II: Machine Learning	Sarah Gulliford	A Guide to Outcome Modeling in Radiotherapy and Oncology: Listening to the Data	Issam El Naqa	2018	Routledge
Graph machine learning and neuroscience		Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms	Claudio Stamile, Aldo Marzullo, Enrico Deusebio	2021	Packt Publishing
Machine and Statistical Learning	Vicenç Torra	Data Privacy: Foundations, New Developments and the Big Data Challenge	Vicenç Torra	1st ed. 2017	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
Mathematical Models for Computational Neuroscience	Mauro Ursino; Filippo Cona; Elisa Magosso	Modelling Methodology for Physiology and Medicine (Second Edition)	Ewart Carson and Claudio Cobelli	2014	Elsevier
Part II - Computational neuroscience models		Modelling Natural Action Selection	Anil K. Seth; Tony J. Prescott; Joanna J. Bryson	2011-11	Cambridge University Press
Computational Models in Social Neuroscience	Jin Hyun Cheong; Eshin Jolly; Sunhae Sul; Luke J. Chang	Computational Models of Brain and Behavior	Ahmed A. Moustafa	2017	John Wiley & Sons
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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