Book Image

Practical Data Analysis - Second Edition

By : Hector Cuesta, Dr. Sampath Kumar
Book Image

Practical Data Analysis - Second Edition

By: Hector Cuesta, Dr. Sampath Kumar

Overview of this book

Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.
Table of Contents (21 chapters)
Practical Data Analysis - Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Visualization in art


Visual artists have been using computer-based tools in visual arts rather than traditional art media more often. Artists often use computers for capturing or creating images and forms, editing those images and forms, and printing the images. In turn, they integrate digital technologies and algorithmic art with many traditional arts, and as a result, new media visuals are created, but they are a common theme between the one who prepares the scientific visualization and the artist.

On the other hand, computer usage has blurred the differences between photographers, illustrators, photo editors, handicraft artists, and 3-D modelers. Sophisticated visualization tools are required to reduce the differences between them. This leads handicrafts to become computer-aided imagery, photographers to become digital artists, and illustrators to become animators. While solving visual artists' professional tasks, the visualization processes and experiences of visual artists are unique...