Bearbmagovva

QR-koda

Introduction to machine learning /

Furkejuvvon:

Bibliográfalaš dieđut
Váldodahkki:	Alpaydin, Ethem (Dahkki)
Materiálatiipa:	Elektrovnnalaš E-girji
Giella:	eaŋgalasgiella
Almmustuhtton:	Cambridge, Massachusetts ; London, England : The MIT Press, 2014.
Preanttus:	Third edition.
Ráidu:	Adaptive computation and machine learning.
Fáttát:	Machine learning. Electronic books.
Liŋkkat:	An electronic book accessible through the World Wide Web; click to view
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid

Dataset shift in machine learning
Almmustuhtton: (2009)

Machine learning for dummies /
Dahkki: Mueller, John Paul, et al.
Almmustuhtton: (2016)

Machine learning : hands-on for developers and technical professionals /
Dahkki: Bell, Jason
Almmustuhtton: (2015)

Machine learning a probabilistic perspective /
Dahkki: Murphy, Kevin P., 1970-
Almmustuhtton: (2012)

Foundations of machine learning
Dahkki: Mohri, Mehryar
Almmustuhtton: (2012)

Machine learning for financial engineering
Dahkki: Györfi, László
Almmustuhtton: (2012)

Machine learning in non-stationary environments introduction to covariate shift adaptation /
Dahkki: Sugiyama, Masashi, 1974-
Almmustuhtton: (2012)

Optimization for machine learning
Almmustuhtton: (2012)

Machine learning with R /
Dahkki: Lantz, Brett
Almmustuhtton: (2013)

Machine learning in python : essential techniques for predictive analysis /
Dahkki: Bowles, Michael
Almmustuhtton: (2015)

Multi-agent machine learning : a reinforcement approach /
Dahkki: Schwartz, Howard M.
Almmustuhtton: (2014)

Building machine learning systems with Python
Dahkki: Richert, Willi
Almmustuhtton: (2013)

Machine learning in image steganalysis
Dahkki: Schaathun, Hans Georg
Almmustuhtton: (2012)

Semi-supervised learning
Almmustuhtton: (2006)

Learning scikit-learn : machine learning in Python /
Dahkki: Garreta, Raul
Almmustuhtton: (2013)

Learning with kernels support vector machines, regularization, optimization, and beyond /
Dahkki: Schölkopf, Bernhard
Almmustuhtton: (2002)

Optimal learning
Dahkki: Powell, Warren B., 1955-
Almmustuhtton: (2012)

Least squares support vector machines
Almmustuhtton: (2002)

An elementary introduction to statistical learning theory
Dahkki: Kulkarni, Sanjeev
Almmustuhtton: (2011)

Recursive spatial multiplexing for interference mitigation /
Dahkki: Shah, Syed Ibrahim Asghar
Almmustuhtton: (2019)

Ein Verfahren zur Prognose verkehrsabhangiger Schaltzeiten von Lichtsignalanlagen /
Dahkki: Weisheit, Toni
Almmustuhtton: (2017)

Advances in learning theory methods, models, and applications /
Almmustuhtton: (2003)

Support vector machines data analysis, machine learning and applications /
Almmustuhtton: (2011)

Boosting foundations and algorithms /
Dahkki: Schapire, Robert E.
Almmustuhtton: (2012)

Kernels for structured data
Dahkki: Gartner, Thomas
Almmustuhtton: (2008)

Next-generation sequencing and sequence data analysis /
Dahkki: Chiu, Kuo Ping
Almmustuhtton: (2015)

Kernel methods for pattern analysis
Dahkki: Shawe-Taylor, John
Almmustuhtton: (2004)

Apache Mahout cookbook /
Dahkki: Giacomelli, Piero
Almmustuhtton: (2013)

Klassifikation von Niederspannungsnetzen mit Support Vector Machines : Bewertung des Aufnahmevermogens fur Dezentrale Erzeugungsanlagen /
Dahkki: Breker, Sebastian
Almmustuhtton: (2015)

Machine learning in bioinformatics
Dahkki: Zhang, Yan-Qing
Almmustuhtton: (2009)

Machine learning approaches to bioinformatics
Dahkki: Yang, Zheng Rong
Almmustuhtton: (2010)

Decentralised reinforcement learning in Markov games /
Dahkki: Vrancx, Peter
Almmustuhtton: (2010)

Report of a workshop on the scope and nature of computational thinking
Almmustuhtton: (2010)

Machine learning and statistical approaches to image retrieval
Dahkki: Chen, Yixin, 1972-
Almmustuhtton: (2004)

Gaussian processes for machine learning
Dahkki: Rasmussen, Carl Edward
Almmustuhtton: (2006)

The Novel in the Spanish Silver Age : a digital analysis of genre using machine learning /
Dahkki: Calvo Tello, Jose, 1987-
Almmustuhtton: (2021)

Machine interpretation of patterns image analysis and data mining /
Almmustuhtton: (2010)

Machine learning applications in software engineering
Almmustuhtton: (2005)

Machine learning for protein subcellular localization prediction /
Dahkki: Wan, Shibiao, et al.
Almmustuhtton: (2015)

Water Quality Monitoring Using IoT & Machine Learning
Dahkki: Omambia Andrew , Maake Benard & Wambua Anthony
Almmustuhtton: (2024)