Data science concepts and techniques with applications / Usman Qamar and Muhammad Summair Raza
Material type:
TextPublication details: Cham : Springer, 2023Edition: 2nd edDescription: xxiv, 474 pISBN: - 9783031174414
- 006.312 USM-D
Books
| Current library | Call number | Status | Barcode | |
|---|---|---|---|---|
| UMT Main Campus | 006.312 USM-D (Browse shelf(Opens below)) | Available | 153297 |
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| 006.312 SAL-I An introduction to data science with Python / | 006.312 TOR-D Data mining with R : | 006.312 TRU-D Data science and machine learning for non-programmers : using SAS Enterprise miner / | 006.312 USM-D Data science concepts and techniques with applications / | 006.312 VAN-P Python data science handbook : essential tools for working with data / | 006.312 WIC-R R for data science : import, tidy, transform, visualize, and model data / | 006.312 ZAK-D Data mining and analysis : |
This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science.
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