IoT machine learning applications in telecom, energy, and agriculture : with Raspberry Pi and Arduino using Python /

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 s...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Mathur, Puneet
Format: Electronic eBook
Language:Inglés
Published: [United States] : Apress, 2020.
Subjects:
Internet of things.
Machine learning.
Internet des objets.
Apprentissage automatique.
Programming & scripting languages: general.
Computer programming > software development.
Computer hardware.
Computers > Programming Languages > Python.
Computers > Programming > Open Source.
Computers > Hardware > General.
Computers > Intelligence (AI) & Semantics.
Internet of things
Machine learning
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • CHAPTER 1: Getting Started: Software and Hardware Needed
  • CHAPTER 2: Overview of IoT and IIoT
  • CHAPTER 3: Using Machine Learning with IoT and IIoT in Python
  • CHAPTER 4: Using Machine Learning and IoT in Telecom, Energy, and Agriculture
  • CHAPTER 5: Preparing for the Case Studies
  • CHAPTER 6: Configuring IIoT Energy Meter
  • CHAPTER 7: Telecom Industry Case Study: Solving the Problem of Call Drops with IoT
  • CHAPTER 8: Energy Industry Case Study: Predictive Maintenance for an Industrial Machine
  • CHAPTER 9: Agriculture Industry Case Study: Predicting a Cash Crop Yield.

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