Hidden Bibliographic Details
| Other authors / contributors: | Srinivas Sajja, Priti, author.
|
|---|
| ISBN: | 9783319292069
3319292064
9783319292052
3319292056
|
|---|
| Digital file characteristics: | text file PDF
|
|---|
| Notes: | Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed October 24, 2016).
|
|---|
| Summary: | This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions. The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.
|
|---|
| Other form: | Print version: Akerkar, Rajendra. Intelligent techniques for data science. Cham, Switzerland : Springer, 2016 3319292056 9783319292052
|
|---|
| Standard no.: | 10.1007/978-3-319-29206-9
10.1007/978-3-319-29
|
|---|
