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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Statiistical Twelve-Step Program for Dataholics The current chapters have been completely rewritten. Genetic and Statistic Regression Models: Reviews “I bought your book as it seemed to have the right mixture of statistical theory, practice, and common sense — finally!

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

The book is a valuable resource for experienced and newbie data scientists. The Importance of Straight Data: Science Dealing with Data: It could be through conference attendance, group discussion or directed reading to name just a few examples. A Measure of Predictive Importance Ignorable Problem, Notable Solution An Easy Way to Understand the Segments Includes SAS subroutines which can be easily converted to other languages. Interpretation of Coefficient-Free Models Offline Computer — Download Bookshelf software to your desktop so you can view your eBooks with or without Internet access.

He holds a patent for a unique application in solving the two-group classification problem with genetic programming.

As in the previous edition, this 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.

The author addresses each methodology and assigns its application to a specific type of problem. 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.

Summary Interest in predictive analytics of big data has grown exponentially in the four years since the publication of 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: Statistical and Machine-Learning Data Mining:: An Easy Way to Understand the Model The Bookshelf application offers access: Bruce holds a doctorate in mathematics and statistics, with a concentration in multivariate statistics and response model simulation.

You can find the first often; the second occasionally; but dtaa third, esp. Product pricing will be adjusted to match the corresponding currency. Request an e-inspection copy. Validating the Logistic Regression Model: CPD consists of any educational activity which helps to maintain and develop knowledge, problem-solving, and technical skills with the aim to provide better health care through higher standards.

What are VitalSource eBooks? It provides insightful methods for data mining, and innovative techniques for predictive analytics.

Net T-C Lift Model: I cannot thank you enough, Mkning The Workhorse of Response Modeling It is written in a clear style, and is an enjoyable read as it includes historical notes, which flow with the material. A New Approach for Validating Models The country you have selected will result in the following: We provide complimentary e-inspection copies of primary textbooks to instructors considering our books for course adoption.

The Importance of the Regression Coefficient To better ground readers, ahd book provides an in-depth discussion of the basic methodologies of predictive modeling and analysis. Already read this title?

Learn More about VitalSource Bookshelf. You are brilliant at assimilating, stating the underlying principles of analyses. Adds thirteen sratistical chapters including coverage of data science and its rise, market share estimation, share of wallet modeling without survey data, latent market segmentation, statistical regression modeling that deals with incomplete data, decile analysis assessment in terms of the predictive power of statisticwl data, and a user-friendly version of text mining, not requiring an advanced background in natural language processing NLP.

Descriptive, Predictive, and Look-Alike Profiling Art, Science, Numbers, and Poetry Predicting Share of Wallet without Survey Data Assessment of Marketing Models Its Definition and an Application It offers many insightful perspectives to use for future ALM features and improvements. Perspective and Performance In sum, the 43 chapters of simple yet insightful quantitative techniques make this book unique in the field of data mining literature.

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

Toggle navigation Additional Book Information. This book is an excellent contribution to the literature of statistics, data mining, and machine learning. Identifying Your Best Customers: We provide a free online form to document your learning and a certificate for your records.

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