Analytics for the Internet of Things (IoT)

Break through the hype and learn how to extract actionable intelligence from the flood of IoT data

About This Book

• Make better business decisions and acquire greater control of your IoT infrastructure
• Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices
• Uncover the business potential generated by data from IoT devices and bring down business costs

Who This Book Is For

This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful

What You Will Learn

• Overcome the challenges IoT data brings to analytics
• Understand the variety of transmission protocols for IoT along with their strengths and weaknesses
• Learn how data flows from the IoT device to the final data set
• Develop techniques to wring value from IoT data
• Apply geospatial analytics to IoT data
• Use machine learning as a predictive method on IoT data
• Implement best strategies to get the most from IoT analytics
• Master the economics of IoT analytics in order to optimize business value

In Detail

We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis

突破炒作，學習如何從大量的物聯網數據中提取可行的智能信息

關於本書
- 做出更好的商業決策，更好地掌控您的物聯網基礎設施
- 學習解決與物聯網相關的獨特問題的技巧，並分析來自物聯網設備的數據
- 發現來自物聯網設備數據產生的商業潛力，降低業務成本

適合閱讀對象
本書針對開發人員、物聯網專業人士以及從事數據科學領域的人士，他們試圖通過物聯網設備解決業務問題並希望分析物聯網數據。物聯網愛好者、經理和企業家也會發現這本書同樣有用。對物聯網的先備知識會有所幫助，但不是必需的。一些先前的編程經驗也會有所幫助。

您將學到什麼
- 克服物聯網數據分析所帶來的挑戰
- 了解物聯網的各種傳輸協議以及它們的優點和缺點
- 學習數據從物聯網設備流向最終數據集的過程
- 開發從物聯網數據中獲取價值的技術
- 將地理空間分析應用於物聯網數據
- 在物聯網數據上使用機器學習作為預測方法
- 實施最佳策略以從物聯網分析中獲得最大效益
- 掌握物聯網分析的經濟學，以優化業務價值

詳細內容
我們從從大量幾乎無法理解的數據中提取價值的棘手任務開始。數據經過一個錯綜複雜的路徑，最終才能進入伺服器進行分析。