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New Age Analytics

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Luna, Alvin Albuero De
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Ashland : Arcler Press, 2020.
Temas:
Acceso en línea:Texto completo

MARC

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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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