封面圖片

QR Code

Foundations of machine learning

Saved in:

書目詳細資料
主要作者:	Mohri, Mehryar
企業作者:	ebrary, Inc
其他作者:	Rostamizadeh, Afshin, Talwalkar, Ameet
格式:	電子電子書
語言:	英语
出版:	Cambridge, MA : MIT Press, c2012.
叢編:	Adaptive computation and machine learning series
主題:	Computer algorithms. Machine learning. Electronic books.
在線閱讀:	An electronic book accessible through the World Wide Web; click to view
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

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

Boosting foundations and algorithms /
由: Schapire, Robert E.
出版: (2012)

Least squares support vector machines
出版: (2002)

Dataset shift in machine learning
出版: (2009)

Introduction to machine learning /
由: Alpaydin, Ethem
出版: (2014)

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

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

Machine learning with R /
由: Lantz, Brett
出版: (2013)

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

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

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

Building machine learning systems with Python
由: Richert, Willi
出版: (2013)

Machine learning for financial engineering
由: Györfi, László
出版: (2012)

Machine learning in image steganalysis
由: Schaathun, Hans Georg
出版: (2012)

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

Kernel methods for pattern analysis
由: Shawe-Taylor, John
出版: (2004)

Optimization for machine learning
出版: (2012)

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

Semi-supervised learning
出版: (2006)

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

Optimal learning
由: Powell, Warren B., 1955-
出版: (2012)

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

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

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

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

Kernels for structured data
由: Gartner, Thomas
出版: (2008)

An elementary introduction to statistical learning theory
由: Kulkarni, Sanjeev
出版: (2011)

Apache Mahout cookbook /
由: Giacomelli, Piero
出版: (2013)

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

GMDH-methodology and implementation in C /
出版: (2015)

Pattern classification using ensemble methods
由: Rokach, Lior
出版: (2010)

Machine learning in bioinformatics
由: Zhang, Yan-Qing
出版: (2009)

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

Machine learning approaches to bioinformatics
由: Yang, Zheng Rong
出版: (2010)

Intelligence emerging : adaptivity and search in evolving neural systems /
由: Downing, Keith L.
出版: (2015)

Decentralised reinforcement learning in Markov games /
由: Vrancx, Peter
出版: (2010)

Machine learning applications in software engineering
出版: (2005)

Nearest-neighbor methods in learning and vision theory and practice /
出版: (2005)

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

Gaussian processes for machine learning
由: Rasmussen, Carl Edward
出版: (2006)