{"product_id":"numeric-computation-and-statistical-data-analysis-on-the-java-platform-9783319285290","title":"Numeric Computation and Statistical Data Analysis on the Java Platform","description":"\u003cp\u003e • Author(s): Sergei V. Chekanov\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Languages - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eNumerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell. This book equips the reader with a computational platform which, unlike other statistical programs, is not limited by a single programming language.\u003c\/p\u003e\u003cp\u003eThe author focuses 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-linear regression analysis and many other data-mining topics. He discusses how to find regularities in real-world data, how to classify data, and how to process data for knowledge discoveries. The code snippets are so short that they easily fit into single pages.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eNumeric Computation and Statistical Data Analysis on the Java Platform\u003c\/i\u003e is a great choice for those who want to learn how statistical data analysis can be done using popular programming languages, who want to integrate data analysis algorithms in full-scale applications, and deploy such calculations on the web pages or \u003cem\u003ecomputational servers regardless\u003c\/em\u003e of \u003cem\u003etheir operating system.\u003c\/em\u003e It is an excellent \u003cem\u003ereference for scientific computations to \u003c\/em\u003esolve real-world problems using a \u003cem\u003ecomprehensive stack of open-source Java libraries included in the DataMelt (DMelt) project and \u003c\/em\u003ewill be appreciated by many data-analysis scientists, engineers and students\u003cem\u003e. \u003c\/em\u003e \u003c\/p\u003e\u003cp\u003e\u003cem\u003e\u003cbr\u003e\u003c\/em\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45277843783831,"sku":"9783319285290","price":7277.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319285290.webp?v=1769289340","url":"https:\/\/atlanticbooks.com\/products\/numeric-computation-and-statistical-data-analysis-on-the-java-platform-9783319285290","provider":"Atlantic Books","version":"1.0","type":"link"}