Introducing Data Science: Big Data, Machine Learning, and More, Using Python Too

Description: Introducing Data Science by Arno Meysman, David Cielen DESCRIPTION Data Science has become one of the hottest fields in technology. Firms worldwide are scrambling to find developers with data science skills to work on projects ranging from social media marketing to machine learning, but the prerequisite knowledge and experience for this career can seem bewildering. This book is designed to help anyone who wants to learn more about data science get started. Introducing Data Science teaches readers how to accomplish the fundamental tasks that occupy data scientists. Theyll use the Python language and common Python libraries as they experience firsthand the challenges of dealing with data at scale. Theyll discover how Python allows them to gain insights from huge data sets that need to be stored on multiple machines, or for data moving at such speed no single machine can handle it. After reading this book, readers will have a solid foundation to consider a career in data science. KEY SELLING POINTS Master big data with Python and become a data scientist How to use data science in a big data world Gain hands on experience with the most common Python data science libraries AUDIENCE This book assumes readers (software engineers, business intelligence reporters, database moderators, statisticians, web developers, anyone interested in Big Data) are 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 TECHNOLOGY At its core, data science is a set of concepts and techniques for extracting meaning and clarity from enormous stored data sets or fast-moving data streams. Data scientists write programs to interpret these data. The Python programming language is a favorite tool of data scientists because its easy to read and write, and it provides several high-value libraries that simplify core tasks like statistics, machine learning algorithms, and mathematics. FORMAT Paperback LANGUAGE English CONDITION Brand New Author Biography Davy Cielen is one of the founders and managing partners of Optimately where he focuses on leading and developing data science projects and solutions in various sectors and closely follows new developments in data science. Before Optimately he worked on data science and big data projects at a major retailer. Arno Meysman is one of the founders and managing partners of Optimately where he focuses on leading and developing data science projects and solutions in various sectors and closely follows new developments in data science. Before Optimately he worked on data science and big data projects at a major retailer. Apart from data science he is also into data visualisation and generally "Creating data-driven things that are smart, interactive and pretty". Long Description DESCRIPTION Data Science has become one of the hottest fields in technology. Firms worldwide are scrambling to find developers with data science skills to work on projects ranging from social media marketing to machine learning, but the prerequisite knowledge and experience for this career can seem bewildering. This book is designed to help anyone who wants to learn more about data science get started. Introducing Data Science teaches readers how to accomplish the fundamental tasks that occupy data scientists. Theyll use the Python language and common Python libraries as they experience firsthand the challenges of dealing with data at scale. Theyll discover how Python allows them to gain insights from huge data sets that need to be stored on multiple machines, or for data moving at such speed no single machine can handle it. After reading this book, readers will have a solid foundation to consider a career in data science. KEY SELLING POINTS Master big data with Python and become a data scientist How to use data science in a big data world Gain hands on experience with the most common Python data science libraries AUDIENCE This book assumes readers (software engineers, business intelligence reporters, database moderators, statisticians, web developers, anyone interested in Big Data) are 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 TECHNOLOGY At its core, data science is a set of concepts and techniques for extracting meaning and clarity from enormous stored data sets or fast-moving data streams. Data scientists write programs to interpret these data. The Python programming language is a favorite tool of data scientists because its easy to read and write, and it provides several high-value libraries that simplify core tasks like statistics, machine learning algorithms, and mathematics. Details ISBN1633430030 Author David Cielen Short Title INTRODUCING DATA SCIENCE Publisher Manning Publications Language English ISBN-10 1633430030 ISBN-13 9781633430037 Media Book Format Paperback Year 2016 Pages 320 Subtitle Big Data, Machine Learning, and More, Using Python Tools Imprint Manning Publications Place of Publication New York Country of Publication United States Publication Date 2016-05-23 UK Release Date 2016-05-23 AU Release Date 2016-05-23 NZ Release Date 2016-05-23 US Release Date 2016-05-23 DEWEY 005.7 Audience Professional & Vocational Illustrations Illustrations We've got this At The Nile, if you're looking for it, we've got it. 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