Introducing data science : Big data, machine learning, and more, using Python tools By Davy Cielen; Arno D. B. Meysman & Mohaed Ali.

By:

Cielen, Davy; Meysman, Arno D. B. & Ali, Mohamed

Material type: Text

TextPublication details: New Delhi: Dreamtech press, c2016.Edition: 1Description: i-xix+300PISBN:

97893519937

DDC classification:

006.312 CIE-I

Contents:

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

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. After reading this book, you'll have the solid foundation you need to start a career in data science.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	006.312 CIE-I (Browse shelf(Opens below))	Available		DCB4097

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Previous				No cover image available No cover image available				Next
Previous	006.31 VIN-A.I Artifical Intelligence and Machine Learning	006.31 WLO-M Machine learning and its applications	006.312 BHA-D Data mining and data warehousing : Principles and practical techniques	006.312 CIE-I Introducing data science : Big data, machine learning, and more, using Python tools	006.312 DAT Data Mining Next Generation Challenges and Future Directions	006.312 DAT Data Mining Next Generation Challenges and Future Directions	006.312 DAT Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data	Next

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

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. After reading this book, you'll have the solid foundation you need to start a career in data science.

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