Slika na naslovnici

QR koda

Building machine learning systems with Python

Shranjeno v:

Bibliografske podrobnosti
Glavni avtor:	Richert, Willi
Korporativna značnica:	ebrary, Inc
Drugi avtorji:	Coelho, Luis Pedro
Format:	Elektronski eKnjiga
Jezik:	angleščina
Izdano:	Birmingham, UK : Packt Pub., 2013.
Teme:	Machine learning. Python (Computer program language) Electronic books.
Online dostop:	An electronic book accessible through the World Wide Web; click to view
Oznake:	Označite Brez oznak, prvi označite!

Podobne knjige/članki

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

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

Machine learning with R /
od: Lantz, Brett
Izdano: (2013)

Foundations of machine learning
od: Mohri, Mehryar
Izdano: (2012)

Dataset shift in machine learning
Izdano: (2009)

Introduction to machine learning /
od: Alpaydin, Ethem
Izdano: (2014)

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

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

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

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

Machine learning for financial engineering
od: Györfi, László
Izdano: (2012)

Machine learning in image steganalysis
od: Schaathun, Hans Georg
Izdano: (2012)

Optimization for machine learning
Izdano: (2012)

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

Apache Mahout cookbook /
od: Giacomelli, Piero
Izdano: (2013)

Semi-supervised learning
Izdano: (2006)

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

Optimal learning
od: Powell, Warren B., 1955-
Izdano: (2012)

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

Least squares support vector machines
Izdano: (2002)

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

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

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

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

Boosting foundations and algorithms /
od: Schapire, Robert E.
Izdano: (2012)

Kernels for structured data
od: Gartner, Thomas
Izdano: (2008)

An elementary introduction to statistical learning theory
od: Kulkarni, Sanjeev
Izdano: (2011)

Professional Python /
od: Sneeringer, Luke
Izdano: (2016)

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

Parallel programming with Python : develop efficient parallel systems using the robust Python environment /
od: Palach, Jan
Izdano: (2014)

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

Learning Python® with Raspberry Pi® /
od: Bradbury, Alex
Izdano: (2014)

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

Learning geospatial analysis with Python /
od: Lawhead, Joel
Izdano: (2013)

Testing Python : applying unit testing, TDD, BDD, and acceptance testing /
od: Sale, David
Izdano: (2014)

Python programming for the absolute beginner
od: Dawson, Michael
Izdano: (2010)

Mastering object-oriented Python : grasp the intricacies of object-oriented programming in Python in order to efficiency build powerful real-world applications /
od: Lott, Steven F.
Izdano: (2014)

Learning Python design patterns /
od: Zlobin, Gennadiy
Izdano: (2013)

Python testing cookbook over 70 simple but incredibly effective recipes for taking control of automated testing using powerful Python testing tools /
od: Turnquist, Greg L.
Izdano: (2011)

Kernel methods for pattern analysis
od: Shawe-Taylor, John
Izdano: (2004)