Introducing facts Science teaches you ways to complete the basic projects that occupy info scientists. utilizing the Python language and customary Python libraries, you are going to event firsthand the demanding situations of facing information at scale and achieve a superior starting place in information science.
Purchase of the print ebook features a unfastened booklet in PDF, Kindle, and ePub codecs from Manning Publications.
About the Technology
Many businesses desire builders with facts technology abilities to paintings on initiatives starting from social media advertising to desktop studying. researching what you must discover ways to commence a profession as a knowledge scientist can appear bewildering. This booklet is designed that will help you get started.
About the Book
Introducing info ScienceIntroducing info technology explains very important information technological know-how techniques and teaches you ways to complete the basic initiatives that occupy info scientists. You’ll discover info visualization, graph databases, using NoSQL, and the knowledge technological know-how method. You’ll use the Python language and customary Python libraries as you event firsthand the demanding situations of facing information at scale. realize how Python lets you achieve insights from information units so gigantic that they should be saved on a number of machines, or from info relocating so fast that no unmarried desktop can deal with it. This booklet can provide hands-on event with the preferred Python info technology libraries, Scikit-learn and StatsModels. After studying this e-book, you’ll have the cast origin you must begin a profession in information technological know-how.
- Handling huge data
- Introduction to computer learning
- Using Python to paintings with data
- Writing facts technology algorithms
About the Reader
About the Authors
Davy Cielen, Arno D. B. Meysman, and Mohamed Ali are the founders and handling companions of Optimately and Maiton, the place they specialize in constructing facts technological know-how initiatives and recommendations in numerous sectors.
Table of Contents
- Data technology in a major information world
- The facts technology process
- Machine learning
- Handling huge info on a unmarried computer
- First steps in large data
- Join the NoSQL movement
- The upward thrust of graph databases
- Text mining and textual content analytics
- Data visualization to the tip user