Applied Modeling Techniques and Data Analysis 2 is popular PDF and ePub book, written by Yiannis Dimotikalis in 2021-05-11, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Applied Modeling Techniques and Data Analysis 2 can be Read Online from any device for your convenience.

Applied Modeling Techniques and Data Analysis 2 Book PDF Summary

BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 2 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

Detail Book of Applied Modeling Techniques and Data Analysis 2 PDF

Applied Modeling Techniques and Data Analysis 2
  • Author : Yiannis Dimotikalis
  • Release : 11 May 2021
  • Publisher : John Wiley & Sons
  • ISBN : 9781786306746
  • Genre : Business & Economics
  • Total Page : 290 pages
  • Language : English
  • PDF File Size : 11,9 Mb

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