Data Science-Scientific and Statistical Computing

Reda R. Gharieb

ISBN 10: 3330972564 / ISBN 13: 9783330972568

Published by Noor Publishing Aug 2017, 2017

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Many educational and training programs have emerged to address the growth demand for data scientists and professionals. In this context, this book is a short, concise and plenary course for data science. It provides hands-on experience of engineering in statistical computing, machine learning and time-series analysis. The book covers the subjects presented from basic to advanced levels. Therefore, the book can benefit both data scientists, students and those who are interested in pursuing a new career in data science. It offers a medley of the underlying theory and methods of the statistical computing and data analysis. Readers with non engineering background can get familiar with engineering terms and methods. The book includes many solved examples and computer simulations. Therefore, the readers can practice and develop these examples. In summary, this is an essential textbook for the foundations of data science.Books on Demand GmbH, Überseering 33, 22297 Hamburg 616 pp. Englisch.

Seller Inventory # 9783330972568

Bibliographic Details

• Title: Data Science-Scientific and Statistical Computing
• Publisher: Noor Publishing Aug 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 3330972564
• ISBN 13: 9783330972568
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 38D millimeters 220 millimeters width by 150 millimeters height by 38 millimeters depth
• Weight: 935 grams

About this title

Synopsis

Many educational and training programs have emerged to address the growth demand for data scientists and professionals. In this context, this book is a short, concise and plenary course for data science. It provides hands-on experience of engineering in statistical computing, machine learning and time-series analysis. The book covers the subjects presented from basic to advanced levels. Therefore, the book can benefit both data scientists, students and those who are interested in pursuing a new career in data science. It offers a medley of the underlying theory and methods of the statistical computing and data analysis. Readers with non engineering background can get familiar with engineering terms and methods. The book includes many solved examples and computer simulations. Therefore, the readers can practice and develop these examples. In summary, this is an essential textbook for the foundations of data science.

About the Author

Reda R. Gharieb is a pioneer professor of Biomedical and Bioelectronics Engineering with Assiut University, Egypt. He has collaborated with numerous brilliant research teams in Egypt, Japan and USA. His research interests include applied statistical computing, machine learning, signal and image processing, biomedical imaging,and bioinstrumentation.