Data analytics and big data /
The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cove...
Guardado en:
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| Formato: | eBook |
| Lenguaje: | inglés |
| Publicado: |
Hoboken, NJ :
Wiley,
2018.
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| Materias: | |
| Acceso en línea: | Ebook suscrito en eLibro.net |
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Tabla de Contenidos:
- LEGAL PAGE TABLE OF CONTENTS ACKNOWLEDGMENTS PREFACE INTRODUCTION GLOSSARY PART 1 TOWARDS AN UNDERSTANDING OF BIG DATA:ARE YOU READY? 1. FROM DATA TO BIG DATA: YOU MUST WALK BEFORE YOU CAN RUN 2. BIG DATA: A REVOLUTION THAT CHANGES THE GAME PART 2 BIG DATA ANALYTICS: A COMPILATION OF ADVANCED ANALYTICS TECHNIQUES THAT COVERS A WIDE RANGE OF DATA 3. BUILDING AN UNDERSTANDING OF BIG DATA ANALYTICS 4. WHY DATA ANALYTICS AND WHEN CAN WE USE IT? 5. DATA ANALYTICS PROCESS: THERE’S GREAT WORK BEHIND THE SCENES PART 3 DATA ANALYTICS AND MACHINE LEARNING: THE RELEVANCE OF ALGORITHMS 6. MACHINE LEARNING: A METHOD OF DATA ANALYSIS THAT AUTOMATES ANALYTICAL MODEL BUILDING 7. SUPERVISED VERSUS UNSUPERVISED ALGORITHMS: A GUIDED TOUR 8. APPLICATIONS AND EXAMPLES BIBLIOGRAPHY INDEX