Statistical and Machine-Learning Data Mining:: : Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition - Softcover

Ratner, Bruce

 
9780367573607: Statistical and Machine-Learning Data Mining:: : Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den 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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Weitere beliebte Ausgaben desselben Titels

9781498797603: Statistical and Machine-Learning Data Mining: : Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition

Vorgestellte Ausgabe

ISBN 10:  1498797601 ISBN 13:  9781498797603
Verlag: Chapman and Hall/CRC, 2017
Hardcover