Introduction To Iot With Machine Learning And Image Processing Using Raspberry Pi

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

Author : Shrirang Ambaji Kulkarni
Publisher : CRC Press
ISBN 13 : 1351006657
Total Pages : 167 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi by : Shrirang Ambaji Kulkarni

Download or read book Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi written by Shrirang Ambaji Kulkarni and published by CRC Press. This book was released on 2020-08-16 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python programming language to Machine Learning has increased its popularity further. Another technology on the horizon is Internet of Things (IoT). The present book tries to address IoT, Python and Machine Learning along with a small introduction to Image Processing. If you are a novice programmer or have just started exploring IoT or Machine Learning with Python, then this book is for you. Features: Raspberry Pi as IoT is described along with the procedure for installation and configuration. A simple introduction to Python Programming Language along with its popular library packages like NumPy, Pandas, SciPy and Matplotlib are dealt in an exhaustive manner along with relevant examples. Machine Learning along with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification. Image processing on IoT is introduced to the audience who love to apply Machine Learning algorithms to Images The book follows hands-on approach and provide a huge collection of Python programs.

Sensor Projects with Raspberry Pi

Author : Guillermo Guillen
Publisher : Apress
ISBN 13 : 1484252993
Total Pages : 169 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Sensor Projects with Raspberry Pi by : Guillermo Guillen

Download or read book Sensor Projects with Raspberry Pi written by Guillermo Guillen and published by Apress. This book was released on 2019-12-17 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Start solving world issues by beginning small with simple Rasperry Pi projects. Using a free IoT server; tackle fundamental topics and concepts behind the Internet of Things. Image processing and sensor topics aren’t only applicable to the Raspberry Pi. The skills learned in this book can go own to other applications in mobile development and electrical engineering. Start by creating a system to detect movement through the use of a PIR motion sensor and a Raspberry Pi board. Then further your sensor systems by detecting more than simple motion. Use the MQ2 gas sensor and a Raspberry Pi board as a gas leak alarm system to detect dangerous explosive and fire hazards. Train your system to send the captured data to the remote server ThingSpeak. When a gas increase is detected beyond a limit, then a message is sent to your Twitter account. Having started with ThingSpeak, we’ll go on to develop a weather station with your Raspberry Pi. Using the DHT11 (humidity and temperature sensor) and BMP085 (barometric pressure and temperature sensor) in conjunction with ThingSpeak and Twitter, you can receive realtime weather alerts from your own meterological system! Finally, expand your skills into the popular machine learning world of digital image processing using OpenCV and a Pi. Make your own object classifiers and finally manipulate an object by means of an image in movement. This skillset has many applications, ranging from recognizing people or objects, to creating your own video surveillance system. With the skills developed in this book, you will have everything you need to work in IoT projects for the Pi. You can then expand your skills out further to develop mobile projects and delve into interactive systems such as those found in machine learning. What You'll LearnWork with ThingSpeak to receive Twitter alerts from your systems Cultivate skills in processing sensor inputs that are applicable to mobile and machine learning projects as well Incorporate sensors into projects to make devices that interact with more than just code Who This Book Is ForHobbyists and makers working robotics and Internet of Things areas will find this book a great resource for quick but expandable projects. Electronics engineers and programmers who would like to expand their familiarity with basic sensor projects will also find this book helpful.

Real-Time IoT Imaging with Deep Neural Networks

Author : Nicolas Modrzyk
Publisher : Apress
ISBN 13 : 1484257227
Total Pages : 241 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Real-Time IoT Imaging with Deep Neural Networks by : Nicolas Modrzyk

Download or read book Real-Time IoT Imaging with Deep Neural Networks written by Nicolas Modrzyk and published by Apress. This book was released on 2020-03-10 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows you how to build real-time image processing systems all the way through to house automation. Find out how you can develop a system based on small 32-bit ARM processors that gives you complete control through voice commands. Real-time image processing systems are utilized in a wide variety of applications, such as in traffic monitoring systems, medical image processing, and biometric security systems. In Real-Time IoT Imaging with Deep Neural Networks, you will learn how to make use of the best DNN models to detect object in images using Java and a wrapper for OpenCV. Take a closer look at how Java scripting works on the Raspberry Pi while preparing your Visual Studio code for remote programming. You will also gain insights on image and video scripting. Author Nicolas Modrzyk shows you how to use the Rhasspy voice platform to add a powerful voice assistant and completely run and control your Raspberry Pi from your computer. To get your voice intents for house automation ready, you will explore how Java connects to the MQTT and handles parametrized Rhasspy voice commands. With your voice-controlled system ready for operation, you will be able to perform simple tasks such as detecting cats, people, and coffee pots in your selected environment. Privacy and freedom are essential, so priority is given to using open source software and an on-device voice environment where you have full control of your data and video streams. Your voice commands are your own—and just your own. With recent advancements in the Internet of Things and machine learning, cutting edge image processing systems provide complete process automation. This practical book teaches you to build such a system, giving you complete control with minimal effort. What You Will Learn: Show mastery by creating OpenCV filtersExecute a YOLO DNN model for image detectionApply the best Java scripting on Raspberry Pi 4Prepare your setup for real-time remote programmingUse the Rhasspy voice platform for handling voice commands and enhancing your house automation setup Who This Book Is For:Engineers, and Hobbyists wanting to use their favorite JVM to run Object Detection and Networks on a Raspberry Pi

Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

Author : Tran Khanh Dang
Publisher : Springer Nature
ISBN 13 : 9811980691
Total Pages : 773 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications by : Tran Khanh Dang

Download or read book Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications written by Tran Khanh Dang and published by Springer Nature. This book was released on 2022-11-19 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Future Data and Security Engineering, FDSE 2022, held in Ho Chi Minh City, Vietnam, during November 23–25, 2022. The 41 full papers(including 4 invited keynotes) and 12 short papers included in this book were carefully reviewed and selected from 170 submissions. They were organized in topical sections as follows: invited keynotes; big data analytics and distributed systems; security and privacy engineering; machine learning and artificial intelligence for security and privacy; smart city and industry 4.0 applications; data analytics and healthcare systems; and security and data engineering.

The Digital Age in Agriculture

Author : Mehmet Metin Ozguven
Publisher : CRC Press
ISBN 13 : 1000826112
Total Pages : 307 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis The Digital Age in Agriculture by : Mehmet Metin Ozguven

Download or read book The Digital Age in Agriculture written by Mehmet Metin Ozguven and published by CRC Press. This book was released on 2023-02-23 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Digital Age in Agriculture presents information related to the digital age in the agriculture sector. Agriculture is an essential activity for the continuity of life, yet is very labor-intensive and faces a wide variety of challenges. In the struggle against these difficulties, the superior features offered by technology provide important benefits. These technologies require expertise in various technical disciplines, and The Digital Age in Agriculture provides information to readers allowing them to make more informed decisions and giving them the opportunity to improve agricultural productivity. Written by Mehmet Metin Özgüven, an expert who has conducted field studies and with a working technical knowledge of various topics pertaining to the agriculture age, this book covers many subjects important to the age of digital agriculture, including precision agriculture and livestock farming, using agricultural robots and unmanned arial vehicles in agriculture practices, and image processing and machine vision. It is an essential read for researchers, agriculture sector workers, and agricultural engineers.

Proceedings of the 3rd International Symposium of Information and Internet Technology (SYMINTECH 2018)

Author : Mohd Azlishah Othman
Publisher : Springer
ISBN 13 : 303020717X
Total Pages : 99 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Proceedings of the 3rd International Symposium of Information and Internet Technology (SYMINTECH 2018) by : Mohd Azlishah Othman

Download or read book Proceedings of the 3rd International Symposium of Information and Internet Technology (SYMINTECH 2018) written by Mohd Azlishah Othman and published by Springer. This book was released on 2019-05-15 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of a symposium on the role of Internet technologies and how they can transform and improve people’s lives. The Internet is essentially a massive database where all types of information can be shared and transmitted. This can be done passively in the form of non-interactive websites and blogs; or it can be done actively in the form of file sharing and document up- and downloading. Thanks to these technologies, a wealth of information is now available to anyone who can access the Internet. Moreover, Internet technologies are constantly improving: growing faster, offering more diverse information, and supporting processes that would have been impossible in the past. As a result, they have changed, and will continue to change, the way that the world does business and how people interact in their day-to-day lives. In conclusion, the symposium and these proceedings provide a valuable opportunity for leading researchers, engineers and professionals around the globe to discuss the latest advances that are helping the world move forward. They also facilitate the exchange of new ideas in the fields of communication technology to create a dialogue between these groups concerning the latest innovations, trends and concerns, practical challenges and potential solutions in the field of Internet technologies.

Computer Vision with Maker Tech

Author : Fabio Manganiello
Publisher :
ISBN 13 : 9781484268223
Total Pages : 0 pages
Book Rating : 4.2/5 (682 download)

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Book Synopsis Computer Vision with Maker Tech by : Fabio Manganiello

Download or read book Computer Vision with Maker Tech written by Fabio Manganiello and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security. You'll learn the differences between supervised and unsupervised learning and how the nuts-and-bolts of a neural network actually work. You'll also learn to identify and measure the metrics that tell how well your classifier is doing. An overview of other types of machine learning techniques, such as genetic algorithms, reinforcement learning, support vector machines, and anomaly detectors will get you up and running with a familiarity of basic machine learning concepts. Chapters focus on the best practices to build models that can actually scale and are flexible enough to be embedded in multiple applications and easily reusable. With those concepts covered, you'll dive into the tools for setting up a network to collect and process the data points to be fed to our models by using some of the ubiquitous and cheap pieces of hardware that make up today's home automation and IoT industry, such as the RaspberryPi, Arduino, ESP8266, etc. Finally, you'll put things together and work through a couple of practical examples. You'll deploy models for detecting the presence of people in your house, and anomaly detectors that inform you if some sensors have measured something unusual. And you'll add a voice assistant that uses your own model to recognize your voice. You will: Develop a voice assistant to control your IoT devices Implement Computer Vision to detect changes in an environment Go beyond simple projects to also gain a grounding machine learning in general See how IoT can become "smarter" with the inception of machine learning techniques Build machine learning models using TensorFlow and OpenCV.

TinyML

Author : Pete Warden
Publisher : O'Reilly Media
ISBN 13 : 1492052019
Total Pages : 504 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis TinyML by : Pete Warden

Download or read book TinyML written by Pete Warden and published by O'Reilly Media. This book was released on 2019-12-16 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size

Intelligent Systems and Machine Learning

Author : Sachi Nandan Mohanty
Publisher : Springer Nature
ISBN 13 : 3031350782
Total Pages : 533 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Intelligent Systems and Machine Learning by : Sachi Nandan Mohanty

Download or read book Intelligent Systems and Machine Learning written by Sachi Nandan Mohanty and published by Springer Nature. This book was released on 2023-07-09 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the First EAI International Conference on Intelligent Systems and Machine Learning, ICISML 2022, held in Hyderabad, India, in December 16-17,2022. The 75 full papers presented were carefully reviewed and selected from 209 submissions. The conference focuses on Intelligent Systems and Machine Learning Applications in Health care; Digital Forensic & Network Security; Intelligent Communication Wireless Networks; Internet of Things (IoT) Applications; Social Informatics; and Emerging Applications.

Machine Learning, Image Processing, Network Security and Data Sciences

Author : Nilay Khare
Publisher : Springer Nature
ISBN 13 : 3031243676
Total Pages : 378 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Machine Learning, Image Processing, Network Security and Data Sciences by : Nilay Khare

Download or read book Machine Learning, Image Processing, Network Security and Data Sciences written by Nilay Khare and published by Springer Nature. This book was released on 2023-01-17 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1762-1763) constitutes the refereed proceedings of the 4th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2022, held in Bhopal, India, in December 2022. The 64 papers presented in this two-volume set were thoroughly reviewed and selected from 399 submissions. The papers are organized according to the following topical sections: machine learning and computational intelligence; data sciences; image processing and computer vision; network and cyber security.

Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems

Author : Shubhakar Kalya
Publisher : Springer Nature
ISBN 13 : 9811604436
Total Pages : 457 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems by : Shubhakar Kalya

Download or read book Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems written by Shubhakar Kalya and published by Springer Nature. This book was released on 2021-04-10 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select peer-reviewed papers from the International Conference on VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems (VSPICE-2020). The book provides insights into various aspects of the emerging fields in the areas Electronics and Communication Engineering as a holistic approach. The various topics covered in this book include VLSI, embedded systems, signal processing, communication, power electronics and internet of things. This book mainly focuses on the most recent innovations, trends, concerns and practical challenges and their solutions. This book will be useful for academicians, professionals and researchers in the area of electronics and communications and electrical engineering.

Machine Learning with the Raspberry Pi

Author : Donald J. Norris
Publisher : Apress
ISBN 13 : 1484251741
Total Pages : 571 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Machine Learning with the Raspberry Pi by : Donald J. Norris

Download or read book Machine Learning with the Raspberry Pi written by Donald J. Norris and published by Apress. This book was released on 2019-11-29 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable. Machine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been "touched" by artificial intelligence (AI) applications. Building on the concepts first presented in Beginning Artificial Intelligence with the Raspberry Pi, you’ll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. What you learn with Machine Learning with the Raspberry Pi can then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects. What You'll Learn Acquire a working knowledge of current ML Use the Raspberry Pi to implement ML techniques and algorithms Apply AI and ML tools and techniques to your own work projects and studies Who This Book Is For Engineers and scientists but also experienced makers and hobbyists. Motivated high school students who desire to learn about ML can benefit from this material with determination.

Advanced Sensing in Image Processing and IoT

Author : Rashmi Gupta
Publisher : CRC Press
ISBN 13 : 1000543021
Total Pages : 380 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Advanced Sensing in Image Processing and IoT by : Rashmi Gupta

Download or read book Advanced Sensing in Image Processing and IoT written by Rashmi Gupta and published by CRC Press. This book was released on 2021-03-26 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides future research directions in IoT and image processing based Energy, Industry, and Healthcare domain and explores the different applications of its associated technologies. However, the Internet of Things and image processing is a very big field with a lot of subfields, which are very important such as Smart Homes to improve our daily life, Smart Cities to improve the citizens' life, Smart Towns to recover the livability and traditions, Smart Earth to protect our world, and Industrial Internet of Things to create safer and easier jobs. This book considers very important research areas in Energy, Industry, and Healthcare domain with IoT and image processing applications.The aim of the book to highlights future directions of optimization methods in various engineering and science applications in various IoT and image processing applications. Emphasis is given to deep learning and similar models of neural network-based learning techniques employed in solving optimization problems of different engineering and science applications. The role of AI in mechatronics is also highlighted using suitable optimization methods. This book considers very important research areas in Energy, Industry, and Healthcare. It addresses major issues and challenges in Energy, Industry, and Healthcare and solutions proposed for IoT-enabled cellular/computer networks, routing/communication protocols, surveillances applications, secured data management, and positioning approaches. It focuses mainly on smart and context-aware implementations. Key sailing Features: The impact of the proposed book is to provide a major area of concern to develop a foundation for the implementation process of new image processing and IoT devices based on Energy, Industry, and Healthcare related technology. The researchers working on image processing and IoT devices can correlate their work with other requirements of advanced technology in Energy, Industry, and Healthcare domain. To make aware of the latest technology like AI and Machine learning in Energy, Industry, and Healthcare related technology. Useful for the researcher to explore new things like Security, cryptography, and privacy in Energy, Industry, and Healthcare related technology. People who want to start in Energy, Industry, and Healthcare related technology with image processing and IoT world.

Recent Trends in Image Processing and Pattern Recognition

Author : K. C. Santosh
Publisher : Springer Nature
ISBN 13 : 9811604932
Total Pages : 375 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Recent Trends in Image Processing and Pattern Recognition by : K. C. Santosh

Download or read book Recent Trends in Image Processing and Pattern Recognition written by K. C. Santosh and published by Springer Nature. This book was released on 2021-03-22 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the Third International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2020, held in Aurangabad, India, in January 2020. The 78 revised full papers presented were carefully reviewed and selected from 329 submissions. The papers are organized in topical sections in the two volumes. Part I: Computer vision and applications; Data science and machine learning; Document understanding and Recognition. Part II: Healthcare informatics and medical imaging; Image analysis and recognition; Signal processing and pattern recognition; Image and signal processing in Agriculture.

Machine Learning Paradigm for Internet of Things Applications

Author : Shalli Rani
Publisher : John Wiley & Sons
ISBN 13 : 111976047X
Total Pages : 308 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Learning Paradigm for Internet of Things Applications by : Shalli Rani

Download or read book Machine Learning Paradigm for Internet of Things Applications written by Shalli Rani and published by John Wiley & Sons. This book was released on 2022-03-02 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT’s potential and this book brings clarity to the issue. Machine learning (ML) is the key tool for fast processing and decision-making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. Machine learning has become a common subject to all people like engineers, doctors, pharmacy companies, and business people. The book addresses the problem and new algorithms, their accuracy, and their fitness ratio for existing real-time problems. Machine Learning Paradigm for Internet of Thing Applications provides the state-of-the-art applications of machine learning in an IoT environment. The most common use cases for machine learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store ‘contextualized marketing’, and intelligent transportation systems. Readers will gain an insight into the integration of machine learning with IoT in these various application domains.

Artificial Intelligence and Machine Learning for COVID-19

Author : Fadi Al-Turjman
Publisher : Springer Nature
ISBN 13 : 3030601889
Total Pages : 266 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence and Machine Learning for COVID-19 by : Fadi Al-Turjman

Download or read book Artificial Intelligence and Machine Learning for COVID-19 written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2021-02-19 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) – from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.

IoT Machine Learning Applications in Telecom, Energy, and Agriculture

Author : Puneet Mathur
Publisher :
ISBN 13 : 9781484255506
Total Pages : pages
Book Rating : 4.2/5 (555 download)

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Book Synopsis IoT Machine Learning Applications in Telecom, Energy, and Agriculture by : Puneet Mathur

Download or read book IoT Machine Learning Applications in Telecom, Energy, and Agriculture written by Puneet Mathur and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. You will: Implement machine learning with IoT and solve problems in the telecom, agriculture, and energy sectors with Python Set up and use industrial-grade IoT products, such as Modbus RS485 protocol devices, in practical scenarios Develop solutions for commercial-grade IoT or IIoT projects Implement case studies in machine learning with IoT from scratch.