Название: Data Science with Raspberry Pi: Real-Time Applications Using a Localized Cloud
Автор: K. Mohaideen Abdul Kadhar, G. Anand
Издательство: Apress
Год: 2021
Страниц: 251
Язык: английский
Формат: pdf (true), epub
Размер: 11.4 MB

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.

Why Data Science on the Raspberry Pi?
Many books explain the different processes involved in data science in relation to cloud computing. But in this book, the concepts of data science will be discussed as part of real-time applications using the Raspberry Pi. The Raspberry Pi boards can interact with the real-time world by connecting to a wide range of sensors using their general-purpose input/output (GPIO) pins, which makes it easier to collect real-time data. Owing to their small size and low cost, a number of nodes of these Raspberry Pi boards can be connected as a network, thereby enabling localized operation. In other words, the Raspberry Pi can be used as an edge computing device for data processing and storage, closer to the devices used for acquiring the information and thereby overcoming the disadvantages associated with cloud computing. Therefore, a lot of data processing applications can be implemented using a distribution of these devices that can manage real-time data and run the analytics locally. This book will help you to implement real-time data science applications using the Raspberry Pi.

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.

Скачать Data Science with Raspberry Pi: Real-Time Applications Using a Localized Cloud

Скачать с Turbobit
Скачать с Katfile.com