Data science with Raspberry Pi : real-time applications using a localized cloud / K. Mohaideen Abdul Kadhar, G. Anand.
2021
QA76.8.R15 K33 2021
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Details
Title
Data science with Raspberry Pi : real-time applications using a localized cloud / K. Mohaideen Abdul Kadhar, G. Anand.
ISBN
9781484268254 (electronic bk.)
1484268253 (electronic bk.)
9781484268247
1484268245
1484268253 (electronic bk.)
9781484268247
1484268245
Published
[Berkeley] : Apress, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations
Other Standard Identifiers
10.1007/978-1-4842-6825-4 doi
Call Number
QA76.8.R15 K33 2021
Dewey Decimal Classification
005.13/3
Summary
Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud. You'll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you'll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You'll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. By the end of Data Science with the Raspberry Pi, you'll understand that many applications are now dependent upon cloud computing. As Raspberry Pis are cheap, it is easy to use a number of them closer to the sensors gathering the data and restrict the analytics closer to the edge. You'll find that not only is the Pi an easy entry point to data science, it also provides an elegant solution to cloud computing limitations through localized deployment. You will: Interface the Raspberry Pi with sensors Set up the Raspberry Pi as a localized cloud Tackle data science concepts with Python on the Pi.
Bibliography, etc. Note
Includes bibliographical references and index.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 22, 2021).
Added Author
Anand, G. (Computer programmer), author.
Available in Other Form
Print version: 9781484268247
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Table of Contents
Chapter 1: Introduction to Data Science
Chapter 2: Basics of Python Programming
Chapter 3: Introduction to Raspberry Pi
Chapter 4: Sensors and Signals
Chapter 5: Preparing the Data
Chapter 6: Visualizing the Data
Chapter 7: Analysing the Data
Chapter 8: Learning From Data
Chapter 9: Case Studies.
Chapter 2: Basics of Python Programming
Chapter 3: Introduction to Raspberry Pi
Chapter 4: Sensors and Signals
Chapter 5: Preparing the Data
Chapter 6: Visualizing the Data
Chapter 7: Analysing the Data
Chapter 8: Learning From Data
Chapter 9: Case Studies.