ata M in in g. Statistical and. Machine-Learning. Data Mining. Bruce Ratner. Techniques for Better Predictive Modeling and Analysis of Big Data. Second Edition. This book by Bruce Ratner distinguishes between statistical data mining and machine-learning data mining, and explains GenIQ Model, a machine-learning. Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data Bruce Ratner, CRC Press/Taylor & Francis.

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You are brilliant at assimilating, stating the underlying principles of analyses. For Instructors Request Inspection Copy.

Net T-C Lift Model: Art, Science, Numbers, and Poetry This book is an excellent contribution to the literature of sttaistical, data mining, and machine learning. I cannot thank you enough, Bruce! To better ground readers, the book provides an in-depth discussion of the basic methodologies of predictive modeling and analysis.

The Importance of the Regression Coefficient Request an e-inspection copy. The country you have selected will result in the following: Old Problem, New Solution A Measure of Predictive Importance Finding the Best Variables for Marketing Models CPD consists of any educational activity statiztical helps to maintain and develop knowledge, problem-solving, and technical skills with the aim to provide better health care through higher standards.

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Statistics and Data Science 3. Summary Interest in predictive analytics adn big data has grown exponentially in the four years since the publication of Statistical and Machine-Learning Data Mining: Descriptive, Predictive, and Look-Alike Profiling Statistical and Machine-Learning Data Mining:: Interest in predictive analytics of big data has grown exponentially in the four years since the publication of Statistical and Machine-Learning Data Mining: Already read this title?

As in the previous edition, gruce book offers detailed background, discussion, and illustration of specific methods for solving the most commonly experienced problems in predictive modeling and analysis of big data. Visualization of Marketing Models: The Workhorse of Response Modeling The title will be removed from your cart because it is not available in this region.

New Book: Statistical and Machine-Learning Data Mining, by Bruce Ratner

Machine-laerning Selection Methods in Regression: It provides insightful methods for data mining, and innovative techniques for predictive analytics. Identifying Your Best Customers: What is new in the Third Edition: He holds a patent for a unique application in solving the two-group classification problem with genetic programming.

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The current chapters have been completely rewritten.

It offers many insightful perspectives to use for future ALM features and improvements. Product pricing will be adjusted to match the corresponding currency. Reviews “I bought your book as it seemed to have the right mixture of statistical theory, practice, and common sense — finally! The author addresses each methodology and assigns its application to a specific type of problem.

It is written in a clear style, and is an enjoyable read as it includes historical notes, which flow with the material. In the third edition of this bestseller, the author has completely revised, reorganized, and repositioned the original chapters and produced 13 new chapters of creative and useful machine-learning data mining techniques.

Science Dealing with Data: The book is a valuable resource for experienced and newbie data scientists.