Practical Data Analysis - Transform, model, and visualize your data through hands-on projects, developed in open source tools (Hector Cuesta)

 
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Practical Data Analysis - Transform, model, and visualize your data through hands-on projects, developed in open source tools (Hector Cuesta)

Beyond trendy terms like "Big Data" or "Data Science," there are other firms that can develop by leveraging data analysis to create data-driven goods. To get insights and create value for a product or service, data analysis entails asking numerous questions about the data.

Using open-source technologies to analyze the information in their data could revolutionize small businesses. To do it, all you need are some fundamental math and programming skills. The goal of this free data analysis eBook is to arm you with the knowledge you need to start doing data analysis successfully. Learn about the tools, methods, and algorithms required to convert your data into insight.

Without using theoretical jargon, this book covers the fundamental data algorithms, and you'll discover how to use machine learning approaches to transform data into insights. We will perform data-driven innovation processing on a variety of data kinds, including text, images, social network graphs, documents, and time series, and demonstrate how to use MongoDB and Apache Spark to handle enormous amounts of data.

  • Visualize your data to find trends and correlations
  • Build your own image similarity search engine
  • Learn how to forecast numerical values from time series data
  • Create an interactive visualization for your social media graph

Ebook Details

Author(s)
About the Authors
Cuesta, Hector The founder and chief data scientist of the machine intelligence research firm Dataxios are Hector Cuesta. holds an M.Sc. in computer science and a BA in informatics. With experience in a number of areas, including financial services, retail, fintech, e-learning, and human resources, he offers consulting services for data-driven product design. During his free time, he enjoys robotics.
Published
Published Date / Year
2nd Revised edition (September 30, 2016)
Hardcover
338 pages
eBook Format
PDF
ISBN-10
1785289713
ISBN-13
978-1785289712

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