Beginning Data Science, Iot, and AI on Single Board Computers: Core Skills and Real-World Application with the BBC Micro: Bit and Xinabox
暫譯: 單板電腦上的數據科學、物聯網與人工智慧入門：使用 BBC Micro:Bit 和 Xinabox 的核心技能與實際應用

Meitiner, Philip, Seneviratne, Pradeeka

Beginning Data Science, Iot, and AI on Single Board Computers: Core Skills and Real-World Application with the BBC Micro: Bit and Xinabox
  • 出版商: Apress
  • 出版日期: 2020-07-18
  • 售價: $2,840
  • 貴賓價: 9.5 折 $2,698
  • 語言: 英文
  • 頁數: 310
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484257650
  • ISBN-13: 9781484257654
  • 相關分類: 人工智慧、物聯網 IoT、Data Science

    • 海外代購書籍(需單獨結帳)

商品描述

Learn to use technology to undertake data science and to leverage the Internet of Things (IoT) in your experimentation. Designed to take you on a fascinating journey, this book introduces the core concepts of modern data science. You'll start with simple applications that you can undertake on a BBC micro: bit and move to more complex experiments with additional hardware. The skills and narrative are as generic as possible and can be implemented with a range of hardware options.

One of the most exciting and fastest growing topics in education is data science. Understanding how data works, and how to work with data, is a key life skill in the 21st century. In a world driven by information it is essential that students are equipped with the tools they need to make sense of it all. For instance, consider how data science was the key factor that identified the dangers of climate change -- and continues to help us identify and react to the threats it presents. This book explores the power of data and how you can apply it using hardware you have at hand.

You'll learn the core concepts of data science, how to apply them in the real world and how to utilize the vast potential of IoT. By the end, you'll be able to execute sophisticated and meaningful data science experiments - why not become a citizen scientist and make a real contribution to the fight against climate change.

 

There is something of a digital revolution going these days, especially in the classroom. With increasing access to microprocessors, classrooms are are incorporating them more and more into lessons. Close to 5 million BBC micro: bits will be in the hands of young learners by the end of the year and millions of other devices are also being used by educators to teach a range of topics and subjects. This presents an opportunity: microprocessors such as micro: bit provide the perfect tool to use to build 21st century data science skills. Beginning Data Science and IoT on the BBC micro: bit provides you with a solid foundation in applied data science.

What You'll Learn

- Use sensors with a microprocessor to gather or "create" data

- Extract, tabulate, and utilize data it from the microprocessor

- Connect a microprocessor to an IoT platform to share and then use the data we collect

- Analyze and convert data into information

 

Who This Book Is For

Educators, citizen scientists, and tinkerers interested in an introduction to the concepts of IoT and data on a broad scale.

 

商品描述(中文翻譯)

學習如何使用技術進行資料科學實驗，並利用物聯網 (IoT) 進行探索。本書旨在帶您踏上一段迷人的旅程，介紹現代資料科學的核心概念。您將從可以在 BBC micro:bit 上進行的簡單應用開始，然後轉向更複雜的實驗，並使用額外的硬體。這些技能和敘述儘可能通用，可以與多種硬體選項實施。

資料科學是當今教育中最令人興奮且增長最快的主題之一。理解資料如何運作以及如何處理資料，是21世紀的一項關鍵生活技能。在一個由資訊驅動的世界中，學生必須具備所需的工具，以便理解這一切。例如，考慮一下資料科學如何成為識別氣候變化危險的關鍵因素——並持續幫助我們識別和應對其帶來的威脅。本書探討了資料的力量以及如何利用手頭的硬體來應用它。

您將學習資料科學的核心概念，如何在現實世界中應用它們，以及如何利用物聯網的巨大潛力。到最後，您將能夠執行複雜且有意義的資料科學實驗——為什麼不成為一名公民科學家，為對抗氣候變化做出真正的貢獻呢？

當今的數位革命正在進行中，尤其是在教室裡。隨著微處理器的可及性增加，教室越來越多地將其納入課程中。到年底，將有近500萬個 BBC micro:bit 進入年輕學習者的手中，還有數百萬其他設備也被教育工作者用來教授各種主題和科目。這提供了一個機會：像 micro:bit 這樣的微處理器提供了完美的工具來建立21世紀的資料科學技能。《在 BBC micro:bit 上的初學者資料科學與物聯網》為您提供了應用資料科學的堅實基礎。

您將學到的內容：

- 使用微處理器的感測器來收集或「創建」資料

- 從微處理器中提取、整理和利用資料

- 將微處理器連接到物聯網平台，以分享並使用我們收集的資料

- 分析並將資料轉換為資訊

本書的讀者對象：

對物聯網和資料概念有廣泛興趣的教育工作者、公民科學家和愛好者。

作者簡介

Pradeeka Seneviratne, a graduate from the Sri Lanka Institute of Information Technology (SLIIT), has almost two decades of experience working on large and complex IT projects related to the industrial world in a variety of fields, in a variety of roles (programmer, analyst, architect, and team leader) with different technologies and software. Pradeeka has also authored several books related to the maker category including Beginning BBC micro: bit (Apress), Beginning LoRa Radio Networks with Arduino (Apress) and Building Arduino PLCs (Apress).
Philip Meitiner has a background in applied mathematics, psychology, market research, and ed-tech. Philip was was on the original founding members of the Micro: bit Education Foundation where he helped establish the Foundation and is responsible for creating and nurturing the ecosystem, building the reseller and peripheral network and managing the sponsorship scheme (which saw more than 30,000 micro: bits donated to disadvantaged schools in 55 counties). Philip continues to work in the ed-tech sector as a consultant providing services to companies involved with micro: bit. This eclectic mix of careers and experience has instilled in Philip a deep understanding of what it is like to embark on a new learning journey. In addition, his experiences in teaching, market research and IT have given him the perfect mix of skills and knowledge necessary to craft this book.

作者簡介(中文翻譯)

Pradeeka Seneviratne 是斯里蘭卡資訊科技學院 (SLIIT) 的畢業生，擁有近二十年的經驗，參與各種與工業界相關的大型複雜 IT 專案，擔任過多種角色（程式設計師、分析師、架構師和團隊領導），並使用不同的技術和軟體。Pradeeka 也撰寫了幾本與創客類別相關的書籍，包括《Beginning BBC micro: bit》（Apress）、《Beginning LoRa Radio Networks with Arduino》（Apress）和《Building Arduino PLCs》（Apress）。

Philip Meitiner 擁有應用數學、心理學、市場研究和教育科技的背景。Philip 是 Micro: bit 教育基金會的創始成員之一，協助建立該基金會，並負責創建和培育生態系統，建立經銷商和周邊設備網絡，以及管理贊助計畫（該計畫向 55 個國家的弱勢學校捐贈了超過 30,000 個 micro: bit）。Philip 繼續在教育科技領域擔任顧問，為與 micro: bit 相關的公司提供服務。這種多元的職業和經驗使 Philip 深刻理解踏上新學習旅程的感受。此外，他在教學、市場研究和 IT 領域的經驗，使他具備撰寫本書所需的完美技能和知識組合。

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