Learning scikit-learn : machine learning in Python /

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

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

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

Semi-supervised learning
出版: (2006)

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

Optimization for machine learning
出版: (2012)

Mastering machine learning with scikit-learn : apply effective learning algorithms to real-world problems usung scikit-learn /
由: Hackeling, Gavin
出版: (2014)

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

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

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

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

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

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

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)

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

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

Least squares support vector machines
出版: (2002)

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

Learning Python® with Raspberry Pi® /
由: Bradbury, Alex
出版: (2014)

Learning geospatial analysis with Python /
由: Lawhead, Joel
出版: (2013)

Learning Python design patterns /
由: Zlobin, Gennadiy
出版: (2013)

Learning Cython programming : expand your existing legacy applications in C using Python /
由: Herron, Philip
出版: (2013)

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

Python data analysis : learn how to apply powerful data analysis techniques with popular open source Python modules /
由: Idris, Ivan
出版: (2014)

Professional Python /
由: Sneeringer, Luke
出版: (2016)

Blender 2.49 scripting extend the power and flexibility of Blender with the help of Python, a high-level, easy-to-learn scripting language /
由: Anders, Michel
出版: (2010)

Python power! the comprehensive guide /
由: Telles, Matthew A.
出版: (2006)

Python programming for the absolute beginner
由: Dawson, Michael
出版: (2010)

Learning IPython for interactive computing and data visualization learn IPython for interactive Python programming, high-performance numerical computing, and data visualization /
由: Rossant, Cyrille
出版: (2013)

Python testing beginner's guide : an easy and convenient approach to testing your Python projects /
由: Arbuckle, Daniel
出版: (2010)