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Introducing Data Science: Big Data, Machine Learning And More, Using Python Tools

By: Cielen, Davy
Contributor(s): Meysman, Arno D. B
Language: English Publisher: New Delhi -- Dreamtech Press -- 2016Description: xx, 300pISBN: 9789351199373Subject(s): Computer Science | Artificial intelligence | Data MiningDDC classification: 006.312 CIE/I Summary: "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
Item type Current location Collection Call number Status Date due Barcode
Book Book Central Library
General Stack (Nila Campus)
006.312 CIE/I Available 07892
Book Book Central Library
General Stack (Nila Campus)
006.312 CIE/I Available 07897
Book Book Central Library
General Stack (Nila Campus)
006.312 CIE/I Available 07899
Book Book Central Library
General Stack (Nila Campus)
006.312 CIE/I Available 07894
Book Book Central Library
General Stack (Nila Campus)
006.312 CIE/I Available 07893
Book Book Central Library
General Stack (Nila Campus)
006.312 CIE/I Available 07896
Book Book Central Library
General Stack (Nila Campus)
006.312 CIE/I Available 07898
Reference Reference Central Library
Reference (Sahyadri Campus)
Reference 006.312 CIE/I Not for loan 07890
Book Book Central Library
General Stack (Nila Campus)
006.312 CIE/I Available 07895
Book Book Central Library
General Stack (Nila Campus)
006.312 CIE/I Available 07891

1. Data science in a big data world

2. The data science process

3. Machine learning

4. Handling large data on a single computer

5. First steps in big data

6. Join the NoSQL movement

7. The rise of graph databases

8. Text mining and text analytics

9. 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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