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Computational Intelligence in Data Science - 5th IFIP TC 12 International Conference, ICCIDS 2022, Virtual Event, March 24-26,... Computational Intelligence in Data Science - 5th IFIP TC 12 International Conference, ICCIDS 2022, Virtual Event, March 24-26, 2022, Revised Selected Papers (Hardcover, 1st ed. 2022)
Lekshmi Kalinathan, Priyadharsini R, Madheswari Kanmani, Manisha S
R1,459 Discovery Miles 14 590 Ships in 18 - 22 working days

This book constitutes the refereed post-conference proceedings of the Fifth IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2022, held virtually, in March 2022. The 28 revised full papers presented were carefully reviewed and selected from 96 submissions. The papers cover topics such as computational intelligence for text analysis; computational intelligence for image and video analysis; blockchain and data science.

Fundamentals of Data Science (Hardcover): Sanjeev J. Wagh, Manisha S. Bhende, Anuradha D. Thakare Fundamentals of Data Science (Hardcover)
Sanjeev J. Wagh, Manisha S. Bhende, Anuradha D. Thakare
R4,027 Discovery Miles 40 270 Ships in 18 - 22 working days

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.

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