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IoT Machine Learning Applications in Telecom, Energy, and Agriculture
- With Raspberry Pi and Arduino Using Python
Engelsk
Bogcover for IoT Machine Learning Applications in Telecom, Energy, and Agriculture af Puneet Mathur, 9781484255483
Specifikationer
Sprog:
Engelsk
Sider:
278
ISBN-13:
9781484255483
Indbinding:
Paperback
ISBN-10:
1484255488
Kategori:
Udg. Dato:
10 maj 2020
Størrelse i cm:
23,5 x 15,5
Forlag:
Oplagsdato:
10 maj 2020
Forfatter(e):

IoT Machine Learning Applications in Telecom, Energy, and Agriculture

- With Raspberry Pi and Arduino Using Python
Engelsk
Paperback 2020
Format:

Bog beskrivelse
Apply machine learning using the Internet of Things (IoT) in the agriculture, telecom, and energy domains with case studies. This book begins by covering how to set up the software and hardware components including the various sensors to implement the case studies in Python. The case study section starts with an examination of call drop with IoT in the telecoms industry, followed by a case study on energy audit and predictive maintenance for an industrial machine, and finally covers techniques to predict cash crop failure in agribusiness. The last section covers pitfalls to avoid while implementing machine learning and IoT in these domains. After reading this book, you will know how IoT and machine learning are used in the example domains and have practical case studies to use and extend. You will be able to create enterprise-scale applications using Raspberry Pi 3 B+ and Arduino Mega 2560 with Python.  What You Will LearnImplement machine learning with IoT and solve problems in the telecom, agriculture, and energy sectors with PythonSet up and use industrial-grade IoT products, such as Modbus RS485 protocol devices, in practical scenariosDevelop solutions for commercial-grade IoT or IIoT projectsImplement case studies in machine learning with IoT from scratchWho This Book Is ForRaspberry Pi and Arduino enthusiasts and data science and machine learning professionals.
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Specifikationer
Sprog:
Engelsk
Sider:
278
ISBN-13:
9781484255483
Indbinding:
Paperback
ISBN-10:
1484255488
Kategori:
Udg. Dato:
10 maj 2020
Størrelse i cm:
23,5 x 15,5
Forlag:
Oplagsdato:
10 maj 2020
Forfatter(e):
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