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Big Data Analytics Methods

Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing

Praxishandbuch

Peter Ghavami (Autor)

Buch | Softcover

254 Seiten

2019 | 2nd Edition
De Gruyter (Verlag)
978-1-5474-1795-7 (ISBN)

Lese- und Medienproben

Inhaltsverzeichnis (PDF)

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Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics.

The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.

Peter Ghavami, Senior Vice President, Head of Wholesale Data Science & Analytics at Bank of America, USA

Introduction

PART I: Big Data Analytics

Chapter 1. Data Analytics Overview

Chapter 2. Basic Data Analysis

Chapter 3. Data Visualization Tools

PART II: Advanced Analytics Methods

Chapter 4. Natural Language Processing

Chapter 5. Quantitative Analysis - Prediction and Prognostics

Chapter 6. Advanced Analytics & Predictive Modeling

Chapter 7. Ensemble of Models

Chapter 8. Machine Learning, Deep Learning – Artificial Neural Networks

Chapter 9. Model Accuracy & Optimization

PART III: Case Study – Prediction & Advanced Analytics in Practice

Chapter 10: Ensemble of Models – Medical Prediction Case Study

Appendix A: Prognostics Methods

Appendix B: A Neural Network Example

Appendix C: Back Propagation Algorithm Derivation

Appendix D: NeuroSolutions Software Description

Appendix E: The Oracle Program

References

Erscheinungsdatum	17.12.2019
Zusatzinfo	88 Illustrations, black and white; 14 Tables, black and white
Verlagsort	Boston
Sprache	englisch
Maße	170 x 240 mm
Gewicht	490 g
Einbandart	kartoniert
Themenwelt	Sachbuch/Ratgeber ► Beruf / Finanzen / Recht / Wirtschaft ► Wirtschaft
	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb
	Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
	Wirtschaft ► Volkswirtschaftslehre
Schlagworte	Big data, Data analysis, Data mining, Machine lear • Big data, Data analysis, Data mining, Machine learning, Neural networks
ISBN-10	1-5474-1795-1 / 1547417951
ISBN-13	978-1-5474-1795-7 / 9781547417957
Zustand	Neuware