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I tiakina i:

Ngā taipitopito rārangi puna kōrero
Kaituhi matua:	Powell, Warren B., 1955-
Kaituhi rangatōpū:	ebrary, Inc
Ētahi atu kaituhi:	Ryzhov, Ilya Olegovich, 1985-
Hōputu:	Tāhiko īPukapuka
Reo:	Ingarihi
I whakaputaina:	Hoboken, NJ : Wiley, 2012.
Rangatū:	Wiley series in probability and statistics.
Ngā marau:	Machine learning. Artificial intelligence. Electronic books.
Urunga tuihono:	An electronic book accessible through the World Wide Web; click to view
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

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

Multi-agent machine learning : a reinforcement approach /
mā: Schwartz, Howard M.
I whakaputaina: (2014)

Optimization for machine learning
I whakaputaina: (2012)

Next-generation sequencing and sequence data analysis /
mā: Chiu, Kuo Ping
I whakaputaina: (2015)

Dataset shift in machine learning
I whakaputaina: (2009)

Machine learning for dummies /
mā: Mueller, John Paul, me ētahi atu.
I whakaputaina: (2016)

Introduction to machine learning /
mā: Alpaydin, Ethem
I whakaputaina: (2014)

Machine learning : hands-on for developers and technical professionals /
mā: Bell, Jason
I whakaputaina: (2015)

Semi-supervised learning
I whakaputaina: (2006)

Machine learning a probabilistic perspective /
mā: Murphy, Kevin P., 1970-
I whakaputaina: (2012)

Learning with kernels support vector machines, regularization, optimization, and beyond /
mā: Schölkopf, Bernhard
I whakaputaina: (2002)

Foundations of machine learning
mā: Mohri, Mehryar
I whakaputaina: (2012)

Machine learning for financial engineering
mā: Györfi, László
I whakaputaina: (2012)

Learning scikit-learn : machine learning in Python /
mā: Garreta, Raul
I whakaputaina: (2013)

Recursive spatial multiplexing for interference mitigation /
mā: Shah, Syed Ibrahim Asghar
I whakaputaina: (2019)

Ein Verfahren zur Prognose verkehrsabhangiger Schaltzeiten von Lichtsignalanlagen /
mā: Weisheit, Toni
I whakaputaina: (2017)

Machine learning with R /
mā: Lantz, Brett
I whakaputaina: (2013)

Machine learning in python : essential techniques for predictive analysis /
mā: Bowles, Michael
I whakaputaina: (2015)

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

Building machine learning systems with Python
mā: Richert, Willi
I whakaputaina: (2013)

Boosting foundations and algorithms /
mā: Schapire, Robert E.
I whakaputaina: (2012)

Kernels for structured data
mā: Gartner, Thomas
I whakaputaina: (2008)

An elementary introduction to statistical learning theory
mā: Kulkarni, Sanjeev
I whakaputaina: (2011)

Machine learning in image steganalysis
mā: Schaathun, Hans Georg
I whakaputaina: (2012)

Least squares support vector machines
I whakaputaina: (2002)

Kernel methods for pattern analysis
mā: Shawe-Taylor, John
I whakaputaina: (2004)

Apache Mahout cookbook /
mā: Giacomelli, Piero
I whakaputaina: (2013)

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

Tenth Scandinavian Conference on Artificial Intelligence SCAI 2008 /
I whakaputaina: (2008)

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

Encyclopedia of the Sciences of Learning
mā: Seel, Norbert M.
I whakaputaina: (2012)

Bodies/machines
I whakaputaina: (2002)

Human machine interaction using hybrid biological signals : next step of powered wheelchair controller /
mā: Kadam, Pankaj
I whakaputaina: (2014)

Reinforcement Learning : An Introduction /
mā: Sutton, Richard S.
I whakaputaina: (1998)

Decentralised reinforcement learning in Markov games /
mā: Vrancx, Peter
I whakaputaina: (2010)

Artificial life and evolutionary computation proceedings of Wivace 2008, Venice, Italy, 8-10 September 2008 /
I whakaputaina: (2010)

Statistical mechanics of learning
mā: Engel, A. (Andreas), 1957-
I whakaputaina: (2001)

Process, data and classifier models for accessible supervised classification problem solving /
mā: De Bruyne, Steven
I whakaputaina: (2010)

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

Ontology learning and population bridging the gap between text and knowledge /
I whakaputaina: (2008)