Introducing data science : big data, machine learning, and more, using Python tools / Davy Cielen, Arno D. B. Meysman, Mohamed Ali.
Material type:
TextPublisher: Shelter Island, NY : Manning Publications, [2016]Copyright date: ©2016Description: xx, 300 pages : illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 1633430030
- 9781633430037
- 006.3/12 23
- QA76.9.D343 C4723 2016
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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UPM Female Campus Library FR | Computer and Cyber Sciences | 006.3/12 (Browse shelf(Opens below)) | c.1 | Available | UPM0000007497 | ||
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Text Books
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UPM Male Campus Library FR | Computer and Cyber Sciences | 006.3/12 (Browse shelf(Opens below)) | c.2 | Available | UPM0000007496 | ||
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Text Books
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UPM Male Campus Library FR | Computer and Cyber Sciences | 006.3/12 (Browse shelf(Opens below)) | c.3 | Available | UPM0000007498 |
Includes index.
Data science in a big data world -- The data science process -- Machine learning -- Handling large data on a single computer -- First steps in big data -- Join the NoSQL movement -- The rise of graph databases -- Text mining and text analytics -- Data visualization to the end user.
"Introducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. You'll explore data visualization, graph databases, the use of NoSQL, and the data science process. You'll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale. Discover how Python allows you to gain insights from data sets so big that they need to be stored on multiple machines, or from data moving so quickly that no single machine can handle it. This book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels"--Back cover.
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