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Data Science with Raspberry Pi - Real-Time Applications Using a Localized Cloud (Paperback, 1st ed.)
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Data Science with Raspberry Pi - Real-Time Applications Using a Localized Cloud (Paperback, 1st ed.)
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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. What You Will
Learn Interface the Raspberry Pi with sensors Set up the Raspberry
Pi as a localized cloud Tackle data science concepts with Python on
the Pi Who This Book Is For Data scientists who are looking to
implement real-time applications using the Raspberry Pi as an edge
device and localized cloud. Readers should have a basic knowledge
in mathematics, computers, and statistics. A working knowledge of
Python and the Raspberry Pi is an added advantage.
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