"Computational and Machine Learning Tools for Archaeological Site Modeling"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Computational and Machine Learning Tools for Archaeological Site Modeling	Maria Elena Castiello	1st ed. 2022	Springer International Publishing
GIS and Archaeological Site Location Modeling	Mark W. Mehrer; Konnie L. Wescott	2005	Routledge
Computational Intelligence for Machine Learning and Healthcare Informatics	Rajshree Srivastava; Pradeep Kumar Mallick; Siddharth Swarup Rautaray; Manjusha Pandey	2020	De Gruyter
Statistical Modeling and Machine Learning for Molecular Biology	Alan Moses	2016	Routledge
Uncertainty and Sensitivity Analysis in Archaeological Computational Modeling	Marieka Brouwer Burg; Hans Peeters; William A. Lovis	1st ed. 2016	Springer International Publishing
Computational Trust Models and Machine Learning	Xin Liu; Anwitaman Datta; Ee-Peng Lim	2014	Routledge
The computational complexity of machine learning	Michael J. Kearns	1990	MIT Press
Machine Learning: Modeling Data Locally and Globally	Kai-Zhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu	2008	Springer Berlin Heidelberg
Optimization and Machine Learning - Optimizationfor Machine Learning and Machine Learning for Optimization	Rachid Chelouah; Patrick Siarry	2022	John Wiley & Sons
Machine learning with R: expert techniques for predictive modeling	Lantz, Brett	2019	Packt Publishing
Tools for Computational Finance	Rüdiger U. Seydel	6th ed. 2017	Springer London
Tools for Computational Finance	Rüdiger U. Seydel	4th ed. 2009	Springer Berlin Heidelberg
Tools for Computational Finance	Rüdiger U. Seydel	3rd ed. 2006	Springer Berlin Heidelberg
Tools for Computational Finance	Rüdiger Seydel (auth.)	2002	Springer Berlin Heidelberg
Tools for Computational Finance	Rüdiger Seydel	2nd ed. 2004	Springer Berlin Heidelberg
Tools for Computational Finance	Rüdiger U. Seydel	5th ed. 2012	Springer London
Tools for Computational Finance	Rüdiger Seydel	2002	Springer Berlin Heidelberg
Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics	Max A. Little	2019	Oxford University Press
Handbook of Machine Learning for Computational Optimization: Applications and Case Studies	Vishal Jain; Sapna Juneja; Abhinav Juneja; Ramani Kannan	2021	Routledge
Archaeological site manual	Museum of London. Archaeology Service	1994	Museum of London
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
Tools for Machine Learning		Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data & Analytics)	Ofer Mendelevitch, Casey Stella, Douglas Eadline	2017	Addison-Wesley
Tools for Machine Learning		Sensor Analysis for the Internet of Things	Michael Stanley, Jongmin Lee	2018	Morgan & Claypool Publishers
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
Machine Tools and Computational Analysis		Functional Reverse Engineering of Strategic and Non-Strategic Machine Tools	Wasim Ahmed Khan; Khalid Rahman; Ghulam Hussain; Ghulam Abbas	2021	Routledge
13 What Are Other Computational Tools For Machine Learning?		Fundamentals of Machine Learning using Python	Euan Russano, Elaine Ferreira Avelino	2019	Arcler Press
Machine learning and mechanistic computational modeling of inflammation as tools for designing immunomodulatory biomaterials	Gary An; Chase Cockrell; Ruben Zamora; Yoram Vodovotz	Immunomodulatory Biomaterials	Jennifer Elisseeff andStephen F. Badylak	2021	Woodhead Publishing
Computational Intelligence Tools for Protein Modeling	Rajesh Kondabala; Vijay Kumar	Harmony Search and Nature Inspired Optimization Algorithms: Theory and Applications, ICHSA 2018	Neha Yadav; Anupam Yadav; Jagdish Chand Bansal; Kusum Deep; Joong Hoon Kim	1st ed. 2019	Springer Nature Singapore
Languages and tools for machine learning		Introducing Microsoft SQL Server 2019: Reliability, scalability, and security both on premises and in the cloud	Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Buck Woody	2020	Packt Publishing
Machine Learning Tools		Kubeflow Operations Guide: Managing Cloud and On-Premise Deployment	Josh Patterson, Michael Katzenellenbogen, Austin Harris	2020	O'Reilly Media
Modeling and machine learning	G. David Garson	Data Analytics for the Social Sciences: Applications in R	G. David Garson	2021	Routledge
Machine Learning Modeling	Robert H. Chen; Chelsea Chen	Artificial Intelligence: An Introduction for the Inquisitive Reader	Robert H. Chen; Chelsea C. Chen	2022	Routledge
Machine Learning for Glass Modeling	Adama Tandia; Mehmet C. Onbasli; John C. Mauro	Springer Handbook of Glass	J. David Musgraves; Juejun Hu; Laurent Calvez	1st ed. 2019	Springer International Publishing
Computational Modeling of Nonlinear Phenomena Using Machine Learning	Anthony J. Hickey; Hugh D. C. Smyth	Pharmaco-complexity: Non-Linear Phenomena and Drug Product Development	Anthony J. Hickey; Hugh D.C. Smyth	2nd ed. 2020	Springer International Publishing
Machine Learning for Computational Haplotype Analysis	Phil H. Lee; Hagit Shatkay	Machine Learning in Bioinformatics	Yanqing Zhang; Jagath C. Rajapakse	2008	John Wiley & Sons
Tools for Learning About Computational Models	Mark A. Pitt; Daniel J. Navarro	Twenty-First Century Psycholinguistics: Four Cornerstones: Four Cornerstones	Anne Cutler	2005	Routledge
Modeling and Analysis Using Computational Tools	U. Narayan Bhat	An Introduction to Queueing Theory: Modeling and Analysis in Applications	U. Narayan Bhat	2008	Birkhäuser Boston
Useful Tools for Statistics and Machine Learning	Anirban DasGupta	Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics	Anirban DasGupta	2011	Springer New York
Software Tools for Machine and Deep Learning	Dipesh Niraula; Issam El Naqa	Machine and Deep Learning in Oncology, Medical Physics and Radiology	Issam El Naqa; Martin J. Murphy	2nd ed. 2022	Springer International Publishing
Tools and data for machine-learning projects		R projects for dummies	Joseph Schmuller	2018	John Wiley & Sons
Machine learning libraries and tools		Hands-On Edge Analytics with Azure IoT: Design and Develop IoT Applications with Edge Analytical Solutions Including Azure IoT Edge	Colin Dow	2020	Packt Publishing Ltd.
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Computational and Machine Learning Tools for Archaeological Site Modeling" - similar Books and Chapters