From curve fitting to machine learning: an illustrative guide to scientific data analysis and computational intelligence
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[Cham]
Springer
2016
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| Schriftenreihe: | Intelligent systems reference library
volume 109 (2016) |
| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 URL des Erstveröffentlichers Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (xv, 498 Seiten) |
| ISBN: | 9783319325453 |
| DOI: | 10.1007/978-3-319-32545-3 |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | 617181 |
|---|---|
| _version_ | 1806179742935678976 |
| adam_text | FROM CURVE FITTING TO MACHINE LEARNING
/ ZIELESNY, ACHIM
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION
CURVE FITTING
CLUSTERING
MACHINE LEARNING
DISCUSSION
CIP -COMPUTATIONAL INTELLIGENCE PACKAGES
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
FROM CURVE FITTING TO MACHINE LEARNING
/ ZIELESNY, ACHIM
: 2016
ABSTRACT / INHALTSTEXT
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)
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Zielesny, Achim 1964- |
| author_GND | (DE-588)1112561048 |
| author_facet | Zielesny, Achim 1964- |
| author_role | aut |
| author_sort | Zielesny, Achim 1964- |
| author_variant | a z az |
| building | Verbundindex |
| bvnumber | BV043546320 |
| classification_rvk | SK 900 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)978-3-319-32545-3 (OCoLC)950707915 (DE-599)BVBBV043546320 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Mathematik |
| doi_str_mv | 10.1007/978-3-319-32545-3 |
| format | Electronic eBook |
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| id | DE-604.BV043546320 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T12:13:51Z |
| institution | BVB |
| isbn | 9783319325453 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028961683 |
| oclc_num | 950707915 |
| open_access_boolean | |
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| psigel | ZDB-2-ENG ZDB-2-ENG_2016 |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Springer |
| record_format | marc |
| series | Intelligent systems reference library |
| series2 | Intelligent systems reference library |
| spellingShingle | Zielesny, Achim 1964- From curve fitting to machine learning an illustrative guide to scientific data analysis and computational intelligence Intelligent systems reference library Computer science Big data Data mining Artificial intelligence Mathematical optimization Applied mathematics Engineering mathematics Computer Science Artificial Intelligence (incl. Robotics) Appl.Mathematics/Computational Methods of Engineering Data Mining and Knowledge Discovery Big Data/Analytics Optimization Informatik Künstliche Intelligenz Maschinelles Lernen (DE-588)4193754-5 gnd Numerisches Verfahren (DE-588)4128130-5 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4128130-5 (DE-588)4123037-1 |
| title | From curve fitting to machine learning an illustrative guide to scientific data analysis and computational intelligence |
| title_auth | From curve fitting to machine learning an illustrative guide to scientific data analysis and computational intelligence |
| title_exact_search | From curve fitting to machine learning an illustrative guide to scientific data analysis and computational intelligence |
| title_full | From curve fitting to machine learning an illustrative guide to scientific data analysis and computational intelligence Achim Zielesny |
| title_fullStr | From curve fitting to machine learning an illustrative guide to scientific data analysis and computational intelligence Achim Zielesny |
| title_full_unstemmed | From curve fitting to machine learning an illustrative guide to scientific data analysis and computational intelligence Achim Zielesny |
| title_short | From curve fitting to machine learning |
| title_sort | from curve fitting to machine learning an illustrative guide to scientific data analysis and computational intelligence |
| title_sub | an illustrative guide to scientific data analysis and computational intelligence |
| topic | Computer science Big data Data mining Artificial intelligence Mathematical optimization Applied mathematics Engineering mathematics Computer Science Artificial Intelligence (incl. Robotics) Appl.Mathematics/Computational Methods of Engineering Data Mining and Knowledge Discovery Big Data/Analytics Optimization Informatik Künstliche Intelligenz Maschinelles Lernen (DE-588)4193754-5 gnd Numerisches Verfahren (DE-588)4128130-5 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Computer science Big data Data mining Artificial intelligence Mathematical optimization Applied mathematics Engineering mathematics Computer Science Artificial Intelligence (incl. Robotics) Appl.Mathematics/Computational Methods of Engineering Data Mining and Knowledge Discovery Big Data/Analytics Optimization Informatik Künstliche Intelligenz Maschinelles Lernen Numerisches Verfahren Datenanalyse |
| url | https://doi.org/10.1007/978-3-319-32545-3 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028961683&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028961683&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV041145603 |
| work_keys_str_mv | AT zielesnyachim fromcurvefittingtomachinelearninganillustrativeguidetoscientificdataanalysisandcomputationalintelligence |