New Age Analytics:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Ashland :
Arcler Press,
2020.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Description based upon print version of record. 6.5. Business Analytics Tools. |
Beschreibung: | 1 online resource (272 p.) |
ISBN: | 1774079143 9781774079140 |
Internformat
MARC
LEADER | 00000cam a2200000Mu 4500 | ||
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003 | OCoLC | ||
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245 | 1 | 0 | |a New Age Analytics |h [electronic resource]. |
260 | |a Ashland : |b Arcler Press, |c 2020. | ||
300 | |a 1 online resource (272 p.) | ||
500 | |a Description based upon print version of record. | ||
505 | 0 | |a Cover -- Title Page -- Copyright -- ABOUT THE AUTHOR -- TABLE OF CONTENTS -- Glossary -- List of Figures -- List of Tables -- List of Abbreviations -- Preface -- Chapter 1 Analysis and Its Techniques -- 1.1. Introduction -- 1.2. Eight Types of Analysis In Research -- 1.3. Phases in Analysis -- 1.4. DA Methods -- 1.5. Qualitative Data -- 1.6. Quantitative Data -- 1.7. Considerations/Issues In Data Analysis -- 1.8. Conclusion -- References -- Chapter 2 Digital Marketing And Analytics -- 2.1. Introduction -- 2.2. Defining Digital Marketing | |
505 | 8 | |a 2.3. Understanding The Importance Of Digital Marketing -- 2.4. Dashboard Metrics -- 2.5. The 5Ds Of Digital Marketing -- 2.6. Principles Of Digital Marketing -- 2.7. Digital Marketing Analytics Tools -- 2.8. Why Digital Marketing Analytics Matter To Your Business -- 2.9. How To Use Analytics In Digital Marketing -- 2.10. Importance Of Digital Marketing Analytics -- 2.11. The Present And Future Of Marketing Analytics -- 2.12. The Future Of Analytics And How It's Changing Digital Marketing -- 2.13. Conclusion -- References -- Chapter 3 Introduction To Artificial Intelligence -- 3.1. Introduction | |
505 | 8 | |a 3.2. What Is Artificial Intelligence? -- 3.3. Impacts Of Artificial Intelligence In Everyday Life -- 3.4. Artificial Intelligence Permeation And Application -- 3.5. Applications Of Artificial Intelligence -- 3.6. Artificial Intelligence: Cause Of Unemployment -- 3.7. Dangers Of Artificial Intelligence -- 3.8. General Artificial Intelligence Can Go Against Humans In The Following Ways -- 3.9. Advantages And Disadvantages Of Artificial Intelligence -- 3.10. Conclusion -- References -- Chapter 4 Machine Learning: Tools And Techniques -- 4.1. Introduction -- 4.2. Machine Learning Methods | |
505 | 8 | |a 4.3. Machine Learning Tools -- 4.4. Why Use Tools -- 4.5. Tools With A Purpose -- 4.6. How Does This Serve In Delivering Results In A Machine Learning Project? -- 4.7. When To Use Machine Learning Tools -- 4.8. Platforms Versus Libraries -- 4.9. Examples Of Machine Learning Platforms Are -- 4.10. Learning Techniques -- 4.11. Programming Languages -- 4.12. Human Biases -- 4.13 Frameworks For General Machine Learning -- 4.14. Deep Learning: A Part Of Machine Learning -- 4.15. Untapped Opportunities Of Deep Learning -- 4.16. Deep Learning -Disadvantages -- 4.17. Conclusion -- References | |
505 | 8 | |a Chapter 5 Social Media Analytics -- 5.1. Introduction -- 5.2. Social Media Analytics -- 5.3. The Need For Social Media Analytics -- 5.4. Challenges Of Using Social Media Analytics -- 5.5. The Importance Of Social Media Analytics -- 5.6. The Social Media Analytics Process -- 5.7. Social Media Analytic Techniques -- 5.8. The Social Media Analytics And Value -- 5.9. Conclusion -- References -- Chapter 6 Business Analytics: Its Application Through IoT -- 6.1. Introduction -- 6.2. What Is Business Analytics? -- 6.3. Advantages Of Business Analytics -- 6.4. Business Analytics: Applications | |
500 | |a 6.5. Business Analytics Tools. | ||
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650 | 0 | |a Data mining. |0 http://id.loc.gov/authorities/subjects/sh97002073 | |
650 | 0 | |a Big data. |0 http://id.loc.gov/authorities/subjects/sh2012003227 | |
650 | 6 | |a Apprentissage automatique. | |
650 | 6 | |a Exploration de données (Informatique) | |
650 | 6 | |a Données volumineuses. | |
650 | 7 | |a Big data |2 fast | |
650 | 7 | |a Data mining |2 fast | |
650 | 7 | |a Machine learning |2 fast | |
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contents | Cover -- Title Page -- Copyright -- ABOUT THE AUTHOR -- TABLE OF CONTENTS -- Glossary -- List of Figures -- List of Tables -- List of Abbreviations -- Preface -- Chapter 1 Analysis and Its Techniques -- 1.1. Introduction -- 1.2. Eight Types of Analysis In Research -- 1.3. Phases in Analysis -- 1.4. DA Methods -- 1.5. Qualitative Data -- 1.6. Quantitative Data -- 1.7. Considerations/Issues In Data Analysis -- 1.8. Conclusion -- References -- Chapter 2 Digital Marketing And Analytics -- 2.1. Introduction -- 2.2. Defining Digital Marketing 2.3. Understanding The Importance Of Digital Marketing -- 2.4. Dashboard Metrics -- 2.5. The 5Ds Of Digital Marketing -- 2.6. Principles Of Digital Marketing -- 2.7. Digital Marketing Analytics Tools -- 2.8. Why Digital Marketing Analytics Matter To Your Business -- 2.9. How To Use Analytics In Digital Marketing -- 2.10. Importance Of Digital Marketing Analytics -- 2.11. The Present And Future Of Marketing Analytics -- 2.12. The Future Of Analytics And How It's Changing Digital Marketing -- 2.13. Conclusion -- References -- Chapter 3 Introduction To Artificial Intelligence -- 3.1. Introduction 3.2. What Is Artificial Intelligence? -- 3.3. Impacts Of Artificial Intelligence In Everyday Life -- 3.4. Artificial Intelligence Permeation And Application -- 3.5. Applications Of Artificial Intelligence -- 3.6. Artificial Intelligence: Cause Of Unemployment -- 3.7. Dangers Of Artificial Intelligence -- 3.8. General Artificial Intelligence Can Go Against Humans In The Following Ways -- 3.9. Advantages And Disadvantages Of Artificial Intelligence -- 3.10. Conclusion -- References -- Chapter 4 Machine Learning: Tools And Techniques -- 4.1. Introduction -- 4.2. Machine Learning Methods 4.3. Machine Learning Tools -- 4.4. Why Use Tools -- 4.5. Tools With A Purpose -- 4.6. How Does This Serve In Delivering Results In A Machine Learning Project? -- 4.7. When To Use Machine Learning Tools -- 4.8. Platforms Versus Libraries -- 4.9. Examples Of Machine Learning Platforms Are -- 4.10. Learning Techniques -- 4.11. Programming Languages -- 4.12. Human Biases -- 4.13 Frameworks For General Machine Learning -- 4.14. Deep Learning: A Part Of Machine Learning -- 4.15. Untapped Opportunities Of Deep Learning -- 4.16. Deep Learning -Disadvantages -- 4.17. Conclusion -- References Chapter 5 Social Media Analytics -- 5.1. Introduction -- 5.2. Social Media Analytics -- 5.3. The Need For Social Media Analytics -- 5.4. Challenges Of Using Social Media Analytics -- 5.5. The Importance Of Social Media Analytics -- 5.6. The Social Media Analytics Process -- 5.7. Social Media Analytic Techniques -- 5.8. The Social Media Analytics And Value -- 5.9. Conclusion -- References -- Chapter 6 Business Analytics: Its Application Through IoT -- 6.1. Introduction -- 6.2. What Is Business Analytics? -- 6.3. Advantages Of Business Analytics -- 6.4. Business Analytics: Applications |
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dewey-search | 006.31 |
dewey-sort | 16.31 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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indexdate | 2024-11-27T13:30:11Z |
institution | BVB |
isbn | 1774079143 9781774079140 |
language | English |
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spelling | Luna, Alvin Albuero De. New Age Analytics [electronic resource]. Ashland : Arcler Press, 2020. 1 online resource (272 p.) Description based upon print version of record. Cover -- Title Page -- Copyright -- ABOUT THE AUTHOR -- TABLE OF CONTENTS -- Glossary -- List of Figures -- List of Tables -- List of Abbreviations -- Preface -- Chapter 1 Analysis and Its Techniques -- 1.1. Introduction -- 1.2. Eight Types of Analysis In Research -- 1.3. Phases in Analysis -- 1.4. DA Methods -- 1.5. Qualitative Data -- 1.6. Quantitative Data -- 1.7. Considerations/Issues In Data Analysis -- 1.8. Conclusion -- References -- Chapter 2 Digital Marketing And Analytics -- 2.1. Introduction -- 2.2. Defining Digital Marketing 2.3. Understanding The Importance Of Digital Marketing -- 2.4. Dashboard Metrics -- 2.5. The 5Ds Of Digital Marketing -- 2.6. Principles Of Digital Marketing -- 2.7. Digital Marketing Analytics Tools -- 2.8. Why Digital Marketing Analytics Matter To Your Business -- 2.9. How To Use Analytics In Digital Marketing -- 2.10. Importance Of Digital Marketing Analytics -- 2.11. The Present And Future Of Marketing Analytics -- 2.12. The Future Of Analytics And How It's Changing Digital Marketing -- 2.13. Conclusion -- References -- Chapter 3 Introduction To Artificial Intelligence -- 3.1. Introduction 3.2. What Is Artificial Intelligence? -- 3.3. Impacts Of Artificial Intelligence In Everyday Life -- 3.4. Artificial Intelligence Permeation And Application -- 3.5. Applications Of Artificial Intelligence -- 3.6. Artificial Intelligence: Cause Of Unemployment -- 3.7. Dangers Of Artificial Intelligence -- 3.8. General Artificial Intelligence Can Go Against Humans In The Following Ways -- 3.9. Advantages And Disadvantages Of Artificial Intelligence -- 3.10. Conclusion -- References -- Chapter 4 Machine Learning: Tools And Techniques -- 4.1. Introduction -- 4.2. Machine Learning Methods 4.3. Machine Learning Tools -- 4.4. Why Use Tools -- 4.5. Tools With A Purpose -- 4.6. How Does This Serve In Delivering Results In A Machine Learning Project? -- 4.7. When To Use Machine Learning Tools -- 4.8. Platforms Versus Libraries -- 4.9. Examples Of Machine Learning Platforms Are -- 4.10. Learning Techniques -- 4.11. Programming Languages -- 4.12. Human Biases -- 4.13 Frameworks For General Machine Learning -- 4.14. Deep Learning: A Part Of Machine Learning -- 4.15. Untapped Opportunities Of Deep Learning -- 4.16. Deep Learning -Disadvantages -- 4.17. Conclusion -- References Chapter 5 Social Media Analytics -- 5.1. Introduction -- 5.2. Social Media Analytics -- 5.3. The Need For Social Media Analytics -- 5.4. Challenges Of Using Social Media Analytics -- 5.5. The Importance Of Social Media Analytics -- 5.6. The Social Media Analytics Process -- 5.7. Social Media Analytic Techniques -- 5.8. The Social Media Analytics And Value -- 5.9. Conclusion -- References -- Chapter 6 Business Analytics: Its Application Through IoT -- 6.1. Introduction -- 6.2. What Is Business Analytics? -- 6.3. Advantages Of Business Analytics -- 6.4. Business Analytics: Applications 6.5. Business Analytics Tools. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Apprentissage automatique. Exploration de données (Informatique) Données volumineuses. Big data fast Data mining fast Machine learning fast Print version: Luna, Alvin Albuero De New Age Analytics Ashland : Arcler Press,c2020 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2725230 Volltext |
spellingShingle | Luna, Alvin Albuero De New Age Analytics Cover -- Title Page -- Copyright -- ABOUT THE AUTHOR -- TABLE OF CONTENTS -- Glossary -- List of Figures -- List of Tables -- List of Abbreviations -- Preface -- Chapter 1 Analysis and Its Techniques -- 1.1. Introduction -- 1.2. Eight Types of Analysis In Research -- 1.3. Phases in Analysis -- 1.4. DA Methods -- 1.5. Qualitative Data -- 1.6. Quantitative Data -- 1.7. Considerations/Issues In Data Analysis -- 1.8. Conclusion -- References -- Chapter 2 Digital Marketing And Analytics -- 2.1. Introduction -- 2.2. Defining Digital Marketing 2.3. Understanding The Importance Of Digital Marketing -- 2.4. Dashboard Metrics -- 2.5. The 5Ds Of Digital Marketing -- 2.6. Principles Of Digital Marketing -- 2.7. Digital Marketing Analytics Tools -- 2.8. Why Digital Marketing Analytics Matter To Your Business -- 2.9. How To Use Analytics In Digital Marketing -- 2.10. Importance Of Digital Marketing Analytics -- 2.11. The Present And Future Of Marketing Analytics -- 2.12. The Future Of Analytics And How It's Changing Digital Marketing -- 2.13. Conclusion -- References -- Chapter 3 Introduction To Artificial Intelligence -- 3.1. Introduction 3.2. What Is Artificial Intelligence? -- 3.3. Impacts Of Artificial Intelligence In Everyday Life -- 3.4. Artificial Intelligence Permeation And Application -- 3.5. Applications Of Artificial Intelligence -- 3.6. Artificial Intelligence: Cause Of Unemployment -- 3.7. Dangers Of Artificial Intelligence -- 3.8. General Artificial Intelligence Can Go Against Humans In The Following Ways -- 3.9. Advantages And Disadvantages Of Artificial Intelligence -- 3.10. Conclusion -- References -- Chapter 4 Machine Learning: Tools And Techniques -- 4.1. Introduction -- 4.2. Machine Learning Methods 4.3. Machine Learning Tools -- 4.4. Why Use Tools -- 4.5. Tools With A Purpose -- 4.6. How Does This Serve In Delivering Results In A Machine Learning Project? -- 4.7. When To Use Machine Learning Tools -- 4.8. Platforms Versus Libraries -- 4.9. Examples Of Machine Learning Platforms Are -- 4.10. Learning Techniques -- 4.11. Programming Languages -- 4.12. Human Biases -- 4.13 Frameworks For General Machine Learning -- 4.14. Deep Learning: A Part Of Machine Learning -- 4.15. Untapped Opportunities Of Deep Learning -- 4.16. Deep Learning -Disadvantages -- 4.17. Conclusion -- References Chapter 5 Social Media Analytics -- 5.1. Introduction -- 5.2. Social Media Analytics -- 5.3. The Need For Social Media Analytics -- 5.4. Challenges Of Using Social Media Analytics -- 5.5. The Importance Of Social Media Analytics -- 5.6. The Social Media Analytics Process -- 5.7. Social Media Analytic Techniques -- 5.8. The Social Media Analytics And Value -- 5.9. Conclusion -- References -- Chapter 6 Business Analytics: Its Application Through IoT -- 6.1. Introduction -- 6.2. What Is Business Analytics? -- 6.3. Advantages Of Business Analytics -- 6.4. Business Analytics: Applications Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Apprentissage automatique. Exploration de données (Informatique) Données volumineuses. Big data fast Data mining fast Machine learning fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh97002073 http://id.loc.gov/authorities/subjects/sh2012003227 |
title | New Age Analytics |
title_auth | New Age Analytics |
title_exact_search | New Age Analytics |
title_full | New Age Analytics [electronic resource]. |
title_fullStr | New Age Analytics [electronic resource]. |
title_full_unstemmed | New Age Analytics [electronic resource]. |
title_short | New Age Analytics |
title_sort | new age analytics |
topic | Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Apprentissage automatique. Exploration de données (Informatique) Données volumineuses. Big data fast Data mining fast Machine learning fast |
topic_facet | Machine learning. Data mining. Big data. Apprentissage automatique. Exploration de données (Informatique) Données volumineuses. Big data Data mining Machine learning |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2725230 |
work_keys_str_mv | AT lunaalvinalbuerode newageanalytics |