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(as of Sep 07, 2024 22:43:24 UTC – Details)
Summary
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.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started.
About the Book
Introducing Data ScienceIntroducing 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.
What’s Inside
Handling large dataIntroduction to machine learningUsing Python to work with dataWriting data science algorithms
About the Reader
This book assumes you’re comfortable reading code in Python or a similar language, such as C, Ruby, or JavaScript. No prior experience with data science is required.
About the Authors
Davy Cielen, Arno D. B. Meysman, and Mohamed Ali are the founders and managing partners of Optimately and Maiton, where they focus on developing data science projects and solutions in various sectors.
Table of Contents
Data science in a big data worldThe data science processMachine learningHandling large data on a single computerFirst steps in big dataJoin the NoSQL movementThe rise of graph databasesText mining and text analyticsData visualization to the end user
ASIN : 1633430030
Publisher : Manning; First Edition (May 23, 2016)
Language : English
Paperback : 320 pages
ISBN-10 : 9781633430037
ISBN-13 : 978-1633430037
Item Weight : 1.2 pounds
Dimensions : 7.38 x 0.7 x 9.25 inches
