Introducing data science : big data, machine learning, and more, using Python tools
Material type:
TextPublication details: New Delhi Dreamtech Press 2025Description: xx, 300pISBN: - 9789351199373
- 006.312 CIE/I
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Reference
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IIIT Kottayam Central Library Reference | 006.312 CIE/I (Browse shelf(Opens below)) | Not For Loan | 3107 | ||||
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IIIT Kottayam Central Library General Stacks | 006.312 CIE/I (Browse shelf(Opens below)) | 2 | Available | 3109 | |||
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IIIT Kottayam Central Library General Stacks | 006.312 CIE/I (Browse shelf(Opens below)) | 3 | Available | 3110 | |||
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IIIT Kottayam Central Library General Stacks | 006.312 CIE/I (Browse shelf(Opens below)) | 4 | Available | 3111 |
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| 006.312 BAE/A Analytics in a big data world : the essential guide to data science and its applications | 006.312 CHA/D Data Mining Methods | 006.312 CIC/D Data mining algorithms : explained using R | 006.312 CIE/I Introducing data science : big data, machine learning, and more, using Python tools | 006.312 DUN/D Data Mining :Introductory and Advanced Topics | 006.312 HAN/D Data Mining :Concepts and Techniques | 006.312 ISH/S Social Big Data Mining |
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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