| 書(shū)目名稱 | IoT Machine Learning Applications in Telecom, Energy, and Agriculture | | 副標(biāo)題 | With Raspberry Pi an | | 編輯 | Puneet Mathur | | 視頻video | http://file.papertrans.cn/476/475088/475088.mp4 | | 概述 | Covers applying machine learning with the Internet of Things (IoT) in the agriculture, telecom, and energy ?sectors.Helps create enterprise-scale applications using Raspberry Pi 3 B+ and Arduino Mega | | 圖書(shū)封面 |  | | 描述 | .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 Learn.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 | | 出版日期 | Book 2020 | | 關(guān)鍵詞 | Machine Learning; IoT; Python; Raspberry Pi; Arduino Mega; Cloud Computing; Telecom | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-5549-0 | | isbn_softcover | 978-1-4842-5548-3 | | isbn_ebook | 978-1-4842-5549-0 | | copyright | Puneet Mathur 2020 |
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