An introduction to business analytics:
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Amsterdam
MG books
[2019]
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Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | vi, 161 Seiten Illustrationen, Diagramme 24 cm |
ISBN: | 9789082017939 |
Internformat
MARC
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505 | 8 | |a Introduction -- Going on a tour with R -- Variability -- Machine learning -- Simulation -- Linear optimization -- Combinatorial optimization -- Simulation optimization --Dynamic programming and reinforcement learning -- Answers to exercises | |
650 | 7 | |a Análisis de datos |2 embucm | |
650 | 7 | |a Empresas / Toma de decisiones |2 embucm | |
650 | 7 | |a Matemáticas financieras |2 embucm | |
650 | 7 | |a Data analytics |2 embucm | |
650 | 7 | |a Business mathematics |2 embucm | |
650 | 7 | |a Business enterprises / Decision making |2 embucm | |
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Datensatz im Suchindex
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adam_text | Contents Preface і Contents v 1 Introduction 1.1 What is business analytics? .................................................. 1.2 Historical overview .............................................................. 1.3 Non-technical overview........................................................ 1.4 Tooling............................................................................. 1.5 Implementation..................................................................... 1.6 Additional reading................................................................ 1 1 5 7 10 14 14 2 Going on a Tour with R 2.1 Getting started.................................. 2.2 Learning R............................................................... 2.3 Libraries................................................................................ 2.4 Data structures .......................................... 2.5 Programming.................................... 2.6 Simulation and hypothesis testing........................................ 2.7 Clustering................................. 2.8 Regression and deep learning............................ 2.9 Classification....................................... 2.10 Optimization.................................................................. 2.11 Additional reading......................... 17 17 19 20 20 21 22 24 25 26 28 29 3 Variability 3.1 Summarizing data.................................................. 3.2 Probability theory and the binomial distribution............. .. . 3.3 Other distributions and the central limit theorem .................. 31 32 34 41
iii
iv Koole — Business Analytics 3.4 Parameter estimation.............................................................. 49 3.5 Additional reading.............................................................. . 53 4 Machine Learning 4.1 Data preparation................................................................... 4.2 Clustering.............................................................................. 4.3 Linear regression................................................................... 4.4 Nonlinear prediction.............................................................. 4.5 Forecasting.............................................................................. 4.6 Classification·........................................................................... 4.7 Additional reading................................................................ 55 56 57 59 64 69 72 76 5 Simulation 5.1 Monte Carlo simulation . .. ................................................... 5.2 Discrete-event simulation..................................................... 5.3 Additional reading................................................................ 77 77 80 84 6 Linear Optimization 85 6.1 Problem formulation.............................................................. 85 6.2 LO in Excel.............................................................................. 89 6.3 Example LO problems........................................................... 92 6.4 Integer problems................................................ 95 6.5 Example ILO problems .............
.............................................. 98 6.6 Modeling tools.......................................................................... 100 6.7 Modeling tricks........................................................ ’.............. 101 6.8 Additional reading.................... 106 7 Combinatorial Optimization 107 7.1 The shortest path problem........................................................107 7.2 The maximum flow problem .. ............................ Ill 7.3 The traveling salesman problem .......................... .112 7.4 Complexity................................................................................ 114 7.5 Additional reading.................................................................. 116 8 Simulation Optimization 117 8.1 Introduction............................................................................. 118 8.2 Comparing scenarios................................................................ 119 8.3 Ranking and selection............................................................. 119 8.4 Local search..................................................................... 121
Contents v 8.5 Additional reading......................................................................... 122 9 Dynamic Programming and Reinforcement Learning 123 9.1 Dynamic programming ................................................................. 124 9.2 Stochastic Dynamic Programming............................................... 126 9.3 Approximate Dynamic Programming......................................... 129 9.4 Models with partial information .................................................. 130 9.5 Reinforcement Learning................................................................. 132 9.6 Additional reading......................................................................... 135 10 Answers to Exercises 137 Bibliography 153 Index 157
|
any_adam_object | 1 |
author | Koole, Ger M. |
author_GND | (DE-588)17161593X |
author_facet | Koole, Ger M. |
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author_sort | Koole, Ger M. |
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building | Verbundindex |
bvnumber | BV046090644 |
classification_rvk | QP 880 |
contents | Introduction -- Going on a tour with R -- Variability -- Machine learning -- Simulation -- Linear optimization -- Combinatorial optimization -- Simulation optimization --Dynamic programming and reinforcement learning -- Answers to exercises |
ctrlnum | (OCoLC)1125190750 (DE-599)BVBBV046090644 |
discipline | Wirtschaftswissenschaften |
format | Book |
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id | DE-604.BV046090644 |
illustrated | Illustrated |
indexdate | 2024-07-10T08:34:59Z |
institution | BVB |
isbn | 9789082017939 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031471637 |
oclc_num | 1125190750 |
open_access_boolean | |
owner | DE-20 DE-739 DE-355 DE-BY-UBR |
owner_facet | DE-20 DE-739 DE-355 DE-BY-UBR |
physical | vi, 161 Seiten Illustrationen, Diagramme 24 cm |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | MG books |
record_format | marc |
spelling | Koole, Ger M. Verfasser (DE-588)17161593X aut An introduction to business analytics Ger Koole Amsterdam MG books [2019] vi, 161 Seiten Illustrationen, Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier Introduction -- Going on a tour with R -- Variability -- Machine learning -- Simulation -- Linear optimization -- Combinatorial optimization -- Simulation optimization --Dynamic programming and reinforcement learning -- Answers to exercises Análisis de datos embucm Empresas / Toma de decisiones embucm Matemáticas financieras embucm Data analytics embucm Business mathematics embucm Business enterprises / Decision making embucm Betriebsanalyse (DE-588)4006164-4 gnd rswk-swf Betriebsanalyse (DE-588)4006164-4 s DE-604 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031471637&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Koole, Ger M. An introduction to business analytics Introduction -- Going on a tour with R -- Variability -- Machine learning -- Simulation -- Linear optimization -- Combinatorial optimization -- Simulation optimization --Dynamic programming and reinforcement learning -- Answers to exercises Análisis de datos embucm Empresas / Toma de decisiones embucm Matemáticas financieras embucm Data analytics embucm Business mathematics embucm Business enterprises / Decision making embucm Betriebsanalyse (DE-588)4006164-4 gnd |
subject_GND | (DE-588)4006164-4 |
title | An introduction to business analytics |
title_auth | An introduction to business analytics |
title_exact_search | An introduction to business analytics |
title_full | An introduction to business analytics Ger Koole |
title_fullStr | An introduction to business analytics Ger Koole |
title_full_unstemmed | An introduction to business analytics Ger Koole |
title_short | An introduction to business analytics |
title_sort | an introduction to business analytics |
topic | Análisis de datos embucm Empresas / Toma de decisiones embucm Matemáticas financieras embucm Data analytics embucm Business mathematics embucm Business enterprises / Decision making embucm Betriebsanalyse (DE-588)4006164-4 gnd |
topic_facet | Análisis de datos Empresas / Toma de decisiones Matemáticas financieras Data analytics Business mathematics Business enterprises / Decision making Betriebsanalyse |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031471637&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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