Data science : techniques and intelligent applications /

"The proposed book covers the topic of data science in a very comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The book starts from the basic concepts of data science; it highlights the types of data, its use and its imp...

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التفاصيل البيبلوغرافية
مؤلفون آخرون: Chavan, Pallavi (المحرر), Mahalle, Parikshit N (المحرر), Mangrulkar, Ramchandra (المحرر), Williams, Idongesit (المحرر)
الوثيقة: كتاب
اللغة:English
منشور في: Boca Raton, FL : Chapman & Hall/CRC Press, 2023.
الطبعة:First edition.
الموضوعات:
Big data.
Electronic data processing.
Information technology.
Information science.
الوصول للمادة أونلاين:http://library.sama.gov.sa/cgi-bin/koha/opac-retrieve-file.pl?id=f75f28e4975b1ddc1b8aca42b575ad25
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245 0 0 |a Data science :  |b techniques and intelligent applications /  |c edited by Pallavi Chavan, Parikshit N Mahalle, Ramchandra Mangrulkar, Idongesit Williams. 
250 |a First edition. 
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264 1 |a Boca Raton, FL :  |b Chapman & Hall/CRC Press,  |c 2023. 
300 |a pages cm 
336 |a text  |b txt  |2 rdacontent 
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504 |a Includes bibliographical references and index. 
505 2 |a Instigation and development of data science / Priyali Sakhare, Dr. Pallavi Chavan, Pournima Kulkarni, Ashwini Sarode -- Role of statistical methods in data science / D. B. Mane, S D Shelke -- Real world applications of data science / Dr. Baisa L. Gunjal. 
520 |a "The proposed book covers the topic of data science in a very comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The book starts from the basic concepts of data science; it highlights the types of data, its use and its importance, followed by discussion on a wide range of applications of data science and widely used techniques in data science. Key features: provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science, presents predictive outcomes by applying data science techniques on real life applications, provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods, and gives the reader variety of intelligent applications that can be designed using data science and its allied fields. The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful"--  |c Provided by publisher. 
650 0 |a Big data. 
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650 0 |a Information technology. 
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700 1 |a Chavan, Pallavi,  |e editor.  |9 26002 
700 1 |a Mahalle, Parikshit N,  |e editor.  |9 26003 
700 1 |a Mangrulkar, Ramchandra,  |e editor.  |9 25995 
700 1 |a Williams, Idongesit,  |e editor. 
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