Fundamentals of Data Science : Theory and Practice /
Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining...
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| Main Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
London :
Academic Press,
2024
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| Subjects: | |
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| Call Number : | QA 76.9.B45 |
MARC
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| 050 | 0 | 0 | |a QA 76.9.B45 |
| 090 | |a QA 76.9.B45 |b K35 2024 | ||
| 100 | 1 | |a Kalita, Jugal Kumar, |e author | |
| 245 | 1 | 0 | |a Fundamentals of Data Science : |b Theory and Practice / |c Jugal K. Kalita, Dhruba K. Bhattacharyya, Swarup Roy |
| 264 | 1 | |a London : |b Academic Press, |c 2024 | |
| 264 | 4 | |c ©2024 | |
| 300 | |a xxvi, 306 pages : |b illustrations ; |c 24 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index | ||
| 520 | |a Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics. Users will find the authors’ research experiences and achievements in data science applications, along with in-depth discussions on topics that are essential for data science projects, including pre-processing, that is carried out before applying predictive and descriptive data analysis tasks and proximity measures for numeric, categorical and mixed-type data | ||
| 650 | 0 | |a Big data | |
| 650 | 0 | |a Data mining | |
| 700 | 1 | |a Bhattacharyya, Dhruba K., |e author | |
| 700 | 1 | |a Roy, Swarup, |e author | |
| 942 | |c 1 |2 lcc | ||
| 999 | |c 106131 |d 106131 | ||