Bruce Ratner

eBook, ePUB

Statistical and Machine-Learning Data Mining: (eBook, ePUB)

Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition

Beschreibung

The third edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining.

Technische Details

• Geräte: eReader
• mit Kopierschutz
• Größe: 14.98MB

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Mathematische Inhalte in MathML für assistive Technologien

Autor

Bruce Ratner, The Significant StatisticianTM, is President and Founder of DM STAT-1 Consulting, the ensample for Statistical Modeling, Analysis and Data Mining, and Machine-learning Data Mining in the DM Space. DM STAT-1 specializes in all standard statistical techniques, and methods using machine-learning/statistics algorithms, such as its patented GenIQ Model, to achieve its clients' goals - across industries including Direct and Database Marketing, Banking, Insurance, Finance, Retail, Telecommunications, Healthcare, Pharmaceutical, Publication & Circulation, Mass & Direct Advertising, Catalog Marketing, e-Commerce, Web-mining, B2B, Human Capital Management, Risk Management, and Nonprofit Fundraising. Bruce holds a doctorate in mathematics and statistics, with a concentration in multivariate statistics and response model simulation. His research interests include developing hybrid-modeling techniques, which combine traditional statistics and machine learning methods. He holds a patent for a unique application in solving the two-group classification problem with genetic programming.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 690
• Erscheinungstermin: 12. Juli 2017
• Englisch
• ISBN-13: 9781351652384
• Artikelnr.: 55402970