Overview:From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence - Intelligent Systems Reference Library 109 - This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics.The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence.All topics are completely demonstrated with the computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with Mathematica's programming language on top of Mathematica's algorithms. CIP is open-source and the detailed code used throughout the book is freely accessible.The target readerships are students of (computer) science and engineering as well as scientific practitioners in industry and academia who deserve an illustrative introduction. Readers with programming skills may easily port or customize the provided code. "'From curve fitting to machine learning' is ... a useful book. ... It contains the basic formulas of curve fitting and related subjects and throws in, what is missing in so many books, the code to reproduce the results.All in all this is an interesting and useful book both for novice as well as expert readers. For the novice it is a good introductory book and the expert will appreciate the many examples and working code". Leslie A. Piegl (Review of the first edition, 2012).

This book is on page /47df93bdff6ee0e8dc5bc4a08409d9a8/book/1603728809-9783319325446. It was written by the following authors: Achim Zielesny. Book From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence - Intelligent Systems Reference Library 109, which can be read online, published by the company: Springer International Publishing AG. Other books on similar topics can be found in sections: Internet, Science, Medicine, Technology, Finance, Business, Computing, Law. The book was published on 2016-04-22 00:00:00. It has 498 pages and is published in Hardback format and weight 8926 g. File for download From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence - Intelligent Systems Reference Library 109 has PDF format and is called from-curve-fitting-to-machine-learning-an-illustrative-guide-to-scientific-data-analysis-and-computational-intelligence-intelligent-systems-reference-library-109.pdf. Other books you can download below. Our ilciancino.it site is not responsible for the content of PDF files.


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