Iot Machine Learning Applications in Telecom, Energy, and Agriculture: With Raspberry Pi and Arduino Using Python
暫譯: 電信、能源與農業中的物聯網機器學習應用：使用 Python 的 Raspberry Pi 和 Arduino

Mathur, Puneet

Iot Machine Learning Applications in Telecom, Energy, and Agriculture: With Raspberry Pi and Arduino Using Python

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商品描述

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-grade IoT or IIoT projects
  • Implement case studies in machine learning with IoT from scratch

 

Who This Book Is For

Raspberry Pi and Arduino enthusiasts and data science and machine learning professionals.

 

商品描述(中文翻譯)

應用機器學習結合物聯網 (IoT) 在農業、電信和能源領域的案例研究。本書首先介紹如何設置軟體和硬體組件，包括各種傳感器，以便在 Python 中實現案例研究。

案例研究部分首先檢視電信行業中 IoT 的通話中斷問題，接著是針對工業機器的能源審計和預測性維護的案例研究，最後涵蓋預測農業商業中現金作物失敗的技術。最後一部分則討論在這些領域實施機器學習和 IoT 時應避免的陷阱。

閱讀本書後，您將了解 IoT 和機器學習在示例領域中的應用，並擁有可用於擴展的實際案例研究。您將能夠使用 Raspberry Pi 3 B+ 和 Arduino Mega 2560 以及 Python 創建企業級應用程式。

您將學到什麼


  • 使用 Python 實現機器學習與 IoT，解決電信、農業和能源領域的問題

  • 在實際場景中設置和使用工業級 IoT 產品，例如 Modbus RS485 協議設備

  • 為商業級 IoT 或 IIoT 項目開發解決方案

  • 從零開始實施機器學習與 IoT 的案例研究

本書適合誰

Raspberry Pi 和 Arduino 愛好者，以及數據科學和機器學習專業人士。

作者簡介

Puneet Mathur is an author, AI consultant, and speaker who has over 20 years of corporate IT industry experience. He has risen from being a programmer to a third line manager working with multinationals such as HP, IBM, and Dell at various levels. For several years he has been working as an AI consultant through his company Boolbrite International for clients around the globe, by guiding and mentoring client teams stuck with AI and machine learning problems. He also conducts leadership and motivational workshops, and AI-based hands-on corporate workshops. His latest bestselling book, Machine Learning Applications using Python (Apress, 2018), is for machine learning professionals who want to advance their career by gaining experiential knowledge from an AI expert. His other books include The Predictive Program Manager, Prediction Secrets, and Good Money Bad Money.

作者簡介(中文翻譯)

Puneet Mathur 是一位作者、人工智慧顧問及演講者，擁有超過 20 年的企業 IT 行業經驗。他從程式設計師晉升為第三線經理，曾在 HP、IBM 和 Dell 等跨國公司擔任不同職位。幾年來，他透過他的公司 Boolbrite International 擔任人工智慧顧問，為全球客戶提供指導和輔導，幫助客戶團隊解決人工智慧和機器學習的問題。他還舉辦領導力和激勵工作坊，以及基於人工智慧的實務企業工作坊。他最新的暢銷書《Machine Learning Applications using Python》（Apress, 2018）是為希望透過從人工智慧專家那裡獲得實務知識來提升職業生涯的機器學習專業人士而寫的。他的其他著作包括《The Predictive Program Manager》、《Prediction Secrets》和《Good Money Bad Money》。

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