£133.07

CRC Press Fundamentals of Data Science

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Description

Product Description Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue. This book provides a stepwise approach to building solutions to data science applications right from understanding the fundamentals, performing data analytics to writing source code. All the concepts are discussed in simple English to help the community to become Data Scientist without much pre-requisite knowledge. Features : Simple strategies for developing statistical models that analyze data and detect patterns, trends, and relationships in data sets. Complete roadmap to Data Science approach with dedicatedsections which includes Fundamentals, Methodology and Tools. Focussed approach for learning and practice various Data Science Toolswith Sample code and examples for practice. Information is presented in an accessible way for students, researchers and academicians and professionals. About the Author Sanjeev Wagh, working as Professor and Head in Department of Information Technology at Govt. College of Engineering, Karad. He has completed his BE (1996), ME(2000) & PhD(2009) in Computer Science & Engineering from Govt. College of Engineering, Pune &Nanded. He was full time Post Doctorate fellow at Center for TeleInfrastructure, Aalborg University, Denmark during 2013-14. He has also completed MBA (IT) from NIBM (2015), Chennai. He has total 24 years of experience in academics & research. His research interest areas are Natural Science Computing, Internet technologies & Wireless Sensor networks, Data Sciences & Analytics. He has 100+ research papers to his credit, published in International /National Journals & conferences. 4 research scholars completed PhD under his supervision from Pune University. Currently 3 research scholars are pursuing PhD under his supervision in various Indian Universities. He is fellow member of ISTE, IETE, and member of IEEE, ACM & CSI. He is co-editor for International Journals in Engineering & Technology. He has visited to Denmark (Aalborg University, Aalborg & Copenhagen) Sweden (Gothenburg University, Gothenburg), Germany (Hamburg University, Hamburg), Norway (University of Oslo), France (University of London Institute in Paris), China (Shanghai Technology Innovation Center Shanghai, delegation visit), Thailand (Kasetsart University, Bangkok), Mauritius (University of Technology, Port Louis) for academic & research purpose. Manisha S. Bhende working as Associate Professor in Dr D Y Patil Institute of Engineering Management and Research, Pune. She has completed BE(1998) ,ME(2007) and PhD(2017) in Computer Engineering from University of Pune and bachelors degree from Government College of Engineering , Amravati, India. Her research interests are IoT and Wireless Networks, Network Security, Cloud Computing, Data science and Machine learning, Data analytics etc. She has 39 research papers/book chapters in International, National conferences and Journals. She delivered expert talk on various domain such as Wireless Communication, Wireless Sensor networks, Data Science, Cyber Security, IoT, Embedded and Real Time Operating Systen , IPR and Innovation etc. She has Published 4 Patents and 3 Copyrights Received on her credit. She is reviewer/Examiner for PhD thesis and ME dissertations

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
26 September 2021
Listed Since
10 November 2018

Barcode

No barcode data available

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