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Viser: Numeric Computation and Statistical Data Analysis on the Java Platform
Numeric Computation and Statistical Data Analysis on the Java Platform Vital Source e-bog
Sergei V. Chekanov
(2016)
Numeric Computation and Statistical Data Analysis on the Java Platform Vital Source e-bog
Sergei V. Chekanov
(2016)
Numeric Computation and Statistical Data Analysis on the Java Platform Vital Source e-bog
Sergei V. Chekanov
(2016)
Numeric Computation and Statistical Data Analysis on the Java Platform
Sergei V. Chekanov
(2016)
Sprog: Engelsk
om ca. 10 hverdage
Detaljer om varen
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Springer Nature (Marts 2016)
- ISBN: 9783319285313
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
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Detaljer om varen
- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Springer Nature (Marts 2016)
- ISBN: 9783319285313R180
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
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Print: 2 sider kan printes ad gangen
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Detaljer om varen
- Vital Source 90 day rentals (dynamic pages)
- Udgiver: Springer Nature (Marts 2016)
- ISBN: 9783319285313R90
Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.
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Print: 2 sider kan printes ad gangen
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Detaljer om varen
- Hardback
- Udgiver: Springer International Publishing AG (April 2016)
- ISBN: 9783319285290
The authorfocuses on practical programming aspects and covers a broad range of topics,from basic introduction to the Python language on the Java platform (Jython),to descriptive statistics, symbolic calculations, neural networks, non-linearregression analysis and many other data-mining topics. He discusses how to findregularities in real-world data, how to classify data, and how to process datafor knowledge discoveries. The code snippets are so short that they easily fit intosingle pages.
Numeric Computation and Statistical DataAnalysis on the Java Platform is a great choice for those who want to learn how statisticaldata analysis can be done using popular programming languages, who want tointegrate data analysis algorithms in full-scale applications, and deploy suchcalculations on the web pages or computational servers regardlessof their operating system. It is an excellent reference for scientific computations to solvereal-world problems using a comprehensive stack of open-source Javalibraries included in the DataMelt (DMelt) project and will beappreciated by many data-analysis scientists, engineers and students.