Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Davy Cielen; Arno Meysman; Mohamed Ali

ISBN 10: 1633430030 / ISBN 13: 9781633430037

Published by Manning, 2016

About this Item

Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.

Seller Inventory # GWSVV.1633430030.G

Bibliographic Details

• Title: Introducing Data Science: Big Data, Machine Learning, and more, using Python tools
• Publisher: Manning
• Publication Date: 2016
• Language: English
• ISBN 10: 1633430030
• ISBN 13: 9781633430037
• Binding: Soft cover
• Condition: good

About this title

Synopsis

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 data
• Introduction to machine learning
• Using Python to work with data
• Writing 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

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

About the Author

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".

Mohamed Ali is one of the founders and managing partners of Optimately and Maiton, where they focus on developing data science projects and solutions in various sectors.