MARC Record from marc_openlibraries_phillipsacademy

LEADER: 03479cam a2200433Ii 4500
001 3910687
003 NOBLE
005 20170503085914.0
008 150929t20152016enka 001 0 eng d
040 $aYDXCP$beng$erda$cYDXCP$dIBS$dOCLCF$dNEO$dIMD$dYT1$dNOG
020 $a9781783555130
020 $a1783555130
035 $a(OCoLC)922562066
082 04 $a005.133$223
082 4 $a005.133$bP999ras
090 $aQA76.73.P98$bR37 2015
049 $aNOGA
100 1 $aRaschka, Sebastian,$eauthor.
245 10 $aPython machine learning :$bunlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics /$cSebastian Raschka.
264 1 $aBirmingham, UK :$bPackt Publishing Ltd.,$c2015.
264 4 $c©2016
300 $axiii, 425 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aCommunity experience distilled
500 $aIncludes index.
505 0 $aGiving computers the ability to learn from data -- Training machine learning algorithms for classification -- A tour of machine learning classifiers using Scikit-learn -- Building good training sets : data preprocessing -- Compressing data via dimensionality reduction -- Learning best practices for model evaluation and hyperparameter tuning -- Combining different models for ensemble learning -- Applying machine learning to sentiment analysis -- Embedding a machine learning model into a web application -- Predicting continuous target variables with regression analysis -- Working with unlabeled data : clustering analysis -- Training artificial neural networks for image recognition -- Parallelizing neural network training with Theano.
520 $aMachine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data -- its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Pylearn2, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.
650 0 $aPython (Computer program language)
650 0 $aMachine learning.
650 7 $aMachine learning.$2fast$0(OCoLC)fst01004795
650 7 $aPython (Computer program language)$2fast$0(OCoLC)fst01084736
830 0 $aCommunity experience distilled.
919 4 $a31867007196277
990 $anobcz 05-03-2017
905 $unoble
901 $a3910687$b$c3910687$tbiblio$soclc
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