PREDICTIVE MODELS TO RISK ANALYSIS WITH NEURAL NETWORKS REGRESSION AND DECISION TREES is popular PDF and ePub book, written by Anonim in 2024-09-30, it is a fantastic choice for those who relish reading online the Uncategoriezed genre. Let's immerse ourselves in this engaging Uncategoriezed book by exploring the summary and details provided below. Remember, PREDICTIVE MODELS TO RISK ANALYSIS WITH NEURAL NETWORKS REGRESSION AND DECISION TREES can be Read Online from any device for your convenience.
PREDICTIVE MODELS TO RISK ANALYSIS WITH NEURAL NETWORKS REGRESSION AND DECISION TREES Book PDF Summary
The essential aim of this book is to use predictive models to analyze risk. Models of decision trees, regression and neural networks are used to predict various risk categories. This book shows you how to build decision tree models to predict a categorical target and how to build regression tree models and neural network models to predict a continuous target. Successive chapters present examples that clarify the application of the models in the field of risk. The examples are solved step by step with SAS Enterprise Miner in order to make easier the understanding of the methodologies used. The book begins by introducing the basics of creating a project, manipulating data sources, and navigating through different results windows. Data Mining tools are used to build the main risk models: Decision Tree, Neural Network, and Regression.
Detail Book of PREDICTIVE MODELS TO RISK ANALYSIS WITH NEURAL NETWORKS REGRESSION AND DECISION TREES PDF
- Author : Anonim
- Release : 30 September 2024
- Publisher : CESAR PEREZ
- ISBN : 9781008979529
- Genre : Uncategoriezed
- Total Page : 222 pages
- Language : English
- PDF File Size : 18,7 Mb
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