
Predictive Analytics For Dummies
Wiley (Verlag)
Erschienen am 24. März 2014
Buch
Softcover
360 Seiten
978-1-118-72896-3 (ISBN)
Artikel ist vergriffen; siehe Neuauflage
Beschreibung
Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data
Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.
Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more.
* Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses
* Helps readers see how to shepherd predictive analytics projects through their companies
* Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more
* Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data
* Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere
Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.
Weitere Details
Auflage
1. Auflage
Sprache
Englisch
Verlagsort
New York
USA
Zielgruppe
Für Beruf und Forschung
Maße
Höhe: 23.4 cm
Breite: 18.6 cm
Dicke: 1.8 cm
Gewicht
474 gr
ISBN-13
978-1-118-72896-3 (9781118728963)
Schweitzer Klassifikation
Weitere Ausgaben
Nachauflagen

Anasse Bari | Mohamed Chaouchi | Tommy Jung
Predictive Analytics For Dummies
Buch
12/2016
2. Auflage
Wiley
28,50 €
Versand in 15-20 Tagen
Personen
Dr. Anasse Bari is a Fulbright scholar, a software engineer, and a data mining expert. Mohamed Chaouchi has conducted extensive research using data mining methods in both health and financial domains. Tommy Jung has worked extensively on natural language processing and algorithmic trading using machine learning.
Inhalt
Introduction 1
Part I: Getting Started with Predictive Analytics 5
Chapter 1: Entering the Arena 7
Chapter 2: Predictive Analytics in the Wild 19
Chapter 3: Exploring Your Data Types and Associated Techniques 43
Chapter 4: Complexities of Data 57
Part II: Incorporating Algorithms in Your Models 73
Chapter 5: Applying Models 75
Chapter 6: Identifying Similarities in Data 89
Chapter 7: Predicting the Future Using Data Classification 115
Part III: Developing a Roadmap 145
Chapter 8: Convincing Your Management to Adopt Predictive Analytics 147
Chapter 9: Preparing Data 167
Chapter 10: Building a Predictive Model 177
Chapter 11: Visualization of Analytical Results 189
Part IV: Programming Predictive Analytics 205
Chapter 12: Creating Basic Prediction Examples 207
Chapter 13: Creating Basic Examples of Unsupervised Predictions 233
Chapter 14: Predictive Modeling with R 249
Chapter 15: Avoiding Analysis Traps 275
Chapter 16: Targeting Big Data 295
Part V: The Part of Tens 307
Chapter 17: Ten Reasons to Implement Predictive Analytics 309
Chapter 18: Ten Steps to Build a Predictive Analytic Model 319
Index 331