Applied predictive modeling:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer
[2013]
|
| Schlagworte: | |
| Online-Zugang: | DE-634 DE-91 DE-384 DE-19 DE-703 DE-20 DE-739 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (xiii, 600 Seiten) Illustrationen, Diagramme (überwiegend farbig) |
| ISBN: | 9781461468493 |
| DOI: | 10.1007/978-1-4614-6849-3 |
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Datensatz im Suchindex
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| adam_text |
APPLIED PREDICTIVE MODELING
/ KUHN, MAX
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
GENERAL STRATEGIES
REGRESSION MODELS
CLASSIFICATION MODELS
OTHER CONSIDERATIONS
APPENDIX
REFERENCES
INDICES
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
APPLIED PREDICTIVE MODELING
/ KUHN, MAX
: 2013
ABSTRACT / INHALTSTEXT
THIS TEXT IS INTENDED FOR A BROAD AUDIENCE AS BOTH AN INTRODUCTION TO
PREDICTIVE MODELS AS WELL AS A GUIDE TO APPLYING THEM. NON-MATHEMATICAL
READERS WILL APPRECIATE THE INTUITIVE EXPLANATIONS OF THE TECHNIQUES
WHILE AN EMPHASIS ON PROBLEM-SOLVING WITH REAL DATA ACROSS A WIDE
VARIETY OF APPLICATIONS WILL AID PRACTITIONERS WHO WISH TO EXTEND THEIR
EXPERTISE. READERS SHOULD HAVE KNOWLEDGE OF BASIC STATISTICAL IDEAS,
SUCH AS CORRELATION AND LINEAR REGRESSION ANALYSIS. WHILE THE TEXT IS
BIASED AGAINST COMPLEX EQUATIONS, A MATHEMATICAL BACKGROUND IS NEEDED
FOR ADVANCED TOPICS. DR. KUHN IS A DIRECTOR OF NON-CLINICAL STATISTICS
AT PFIZER GLOBAL R&D IN GROTON CONNECTICUT. HE HAS BEEN APPLYING
PREDICTIVE MODELS IN THE PHARMACEUTICAL AND DIAGNOSTIC INDUSTRIES FOR
OVER 15 YEARS AND IS THE AUTHOR OF A NUMBER OF R PACKAGES. DR.JOHNSON
HAS MORE THAN A DECADE OF STATISTICAL CONSULTING AND PREDICTIVE MODELING
EXPERIENCE IN PHARMACEUTICAL RESEARCH AND DEVELOPMENT. HE IS A
CO-FOUNDER OF ARBOR ANALYTICS, A FIRM SPECIALIZING IN PREDICTIVE
MODELING AND IS A FORMER DIRECTOR OF STATISTICS AT PFIZER GLOBAL R&D.
HIS SCHOLARLY WORK CENTERS ON THE APPLICATION AND DEVELOPMENT OF
STATISTICAL METHODOLOGY AND LEARNING ALGORITHMS.APPLIED PREDICTIVE
MODELING COVERS THE OVERALL PREDICTIVE MODELING PROCESS, BEGINNING WITH
THE CRUCIAL STEPS OF DATA PREPROCESSING, DATA SPLITTING AND FOUNDATIONS
OF MODEL TUNING. THE TEXT THEN PROVIDES INTUITIVE EXPLANATIONS OF
NUMEROUS COMMON AND MODERN REGRESSION AND CLASSIFICATION TECHNIQUES,
ALWAYS WITH AN EMPHASIS ON ILLUSTRATING AND SOLVING REAL DATA
PROBLEMS. ADDRESSING PRACTICAL CONCERNS EXTENDS BEYOND MODEL FITTING
TO TOPICS SUCH AS HANDLING CLASS IMBALANCE, SELECTING PREDICTORS, AND
PINPOINTING CAUSES OF POOR MODEL PERFORMANCE—ALL OF WHICH ARE PROBLEMS
THAT OCCUR FREQUENTLY IN PRACTICE. THE TEXT ILLUSTRATES ALL PARTS OF
THE MODELING PROCESS THROUGH MANY HANDS-ON, REAL-LIFE EXAMPLES. AND
EVERY CHAPTER CONTAINS EXTENSIVE R CODE FOR EACH STEP OF THE PROCESS.
THE DATA SETS AND CORRESPONDING CODE ARE AVAILABLE IN THE BOOK’S
COMPANION APPLIEDPREDICTIVEMODELING R PACKAGE, WHICH IS FREELY AVAILABLE
ON THE CRAN ARCHIVE. THIS MULTI-PURPOSE TEXT CAN BE USED AS AN
INTRODUCTION TO PREDICTIVE MODELS AND THE OVERALL MODELING PROCESS, A
PRACTITIONER’S REFERENCE HANDBOOK, OR AS A TEXT FOR ADVANCED
UNDERGRADUATE OR GRADUATE LEVEL PREDICTIVE MODELING COURSES. TO THAT
END, EACH CHAPTER CONTAINS PROBLEM SETS TO HELP SOLIDIFY THE COVERED
CONCEPTS AND USES DATA AVAILABLE IN THE BOOK’S R PACKAGE. READERS
AND STUDENTS INTERESTED IN IMPLEMENTING THE METHODS SHOULD HAVE SOME
BASIC KNOWLEDGE OF R. AND A HANDFUL OF THE MORE ADVANCED TOPICS
REQUIRE SOME MATHEMATICAL KNOWLEDGE
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. |
| any_adam_object | 1 |
| author | Kuhn, Max Johnson, Kjell |
| author_GND | (DE-588)1093876328 (DE-588)109387998X |
| author_facet | Kuhn, Max Johnson, Kjell |
| author_role | aut aut |
| author_sort | Kuhn, Max |
| author_variant | m k mk k j kj |
| building | Verbundindex |
| bvnumber | BV041080111 |
| classification_rvk | SK 845 SK 850 QH 237 SK 830 SK 840 ST 270 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA |
| ctrlnum | (OCoLC)852530982 (DE-599)DNB103475923X |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik Wirtschaftswissenschaften Medizin |
| doi_str_mv | 10.1007/978-1-4614-6849-3 |
| format | Electronic eBook |
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| indexdate | 2024-08-28T00:09:45Z |
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| language | English |
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| spelling | Kuhn, Max Verfasser (DE-588)1093876328 aut Applied predictive modeling Max Kuhn ; Kjell Johnson New York, NY Springer [2013] © 2013 1 Online-Ressource (xiii, 600 Seiten) Illustrationen, Diagramme (überwiegend farbig) txt rdacontent c rdamedia cr rdacarrier Vorhersagetheorie (DE-588)4188671-9 gnd rswk-swf Prognoseverfahren (DE-588)4358095-6 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Vorhersagetheorie (DE-588)4188671-9 s Mathematisches Modell (DE-588)4114528-8 s DE-604 Prognoseverfahren (DE-588)4358095-6 s 1\p DE-604 Johnson, Kjell Verfasser (DE-588)109387998X aut Erscheint auch als Druck-Ausgabe, Hardcover 978-1-4614-6848-6 Erscheint auch als Druck-Ausgabe, Paperback 978-1-4939-7936-3 https://doi.org/10.1007/978-1-4614-6849-3 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026056916&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026056916&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kuhn, Max Johnson, Kjell Applied predictive modeling Vorhersagetheorie (DE-588)4188671-9 gnd Prognoseverfahren (DE-588)4358095-6 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| subject_GND | (DE-588)4188671-9 (DE-588)4358095-6 (DE-588)4114528-8 |
| title | Applied predictive modeling |
| title_auth | Applied predictive modeling |
| title_exact_search | Applied predictive modeling |
| title_full | Applied predictive modeling Max Kuhn ; Kjell Johnson |
| title_fullStr | Applied predictive modeling Max Kuhn ; Kjell Johnson |
| title_full_unstemmed | Applied predictive modeling Max Kuhn ; Kjell Johnson |
| title_short | Applied predictive modeling |
| title_sort | applied predictive modeling |
| topic | Vorhersagetheorie (DE-588)4188671-9 gnd Prognoseverfahren (DE-588)4358095-6 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| topic_facet | Vorhersagetheorie Prognoseverfahren Mathematisches Modell |
| url | https://doi.org/10.1007/978-1-4614-6849-3 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026056916&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=026056916&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT kuhnmax appliedpredictivemodeling AT johnsonkjell appliedpredictivemodeling |