
Ebook: Computational Methods For Data Analysis
Author: Yeliz Karaca Carlo Cattani
- Genre: Computers // Algorithms and Data Structures
- Tags: Data Analysis: Computational Methods
- Year: 2019
- Publisher: De Gruyter
- Language: English
- pdf
The advent of computerization has improved our capabilities in terms of generating
and collecting data from myriad of sources to a large extent. A huge amount of data
has inundated nearly in all walks of lives. Such growth in data has led to an
immediate need for the development of new tools, which can be of help to us in an
intelligent manner. In the light of all these developments, this book dwells on neural
learning methods and it aims at shedding light on those applications where sample
data are available but algorithms for analysis are missing.
and collecting data from myriad of sources to a large extent. A huge amount of data
has inundated nearly in all walks of lives. Such growth in data has led to an
immediate need for the development of new tools, which can be of help to us in an
intelligent manner. In the light of all these developments, this book dwells on neural
learning methods and it aims at shedding light on those applications where sample
data are available but algorithms for analysis are missing.
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