Statistical and Machine-Learning Data Mining: - Couverture souple

Ratner, Bruce

Couverture souple

ISBN 10 : 0367573601 ISBN 13 : 9780367573607

Editeur : Routledge, 2020

Synopsis

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.

A propos du livre

À propos de l?auteur

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.

Détails de l'édition

• Éditeur: Routledge
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 0367573601
• ISBN 13: 9780367573607
• Reliure: Broché
• Numéro d'édition: 3
• Nombre de pages: 690
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible