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Beginning data science, IoT, and AI on single board computers core skills and real-world application with the BBC micro:bit and XinaBox

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...

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Bibliographic Details
Main Authors: Meitiner, Philip, Seneviratne, Pradeeka (Author)
Format: eBook
Language:English
Published: [United States] Apress 2020
Series:Technology in action
Subjects:
Internet Des Objets
Microprocessors / Http://id.loc.gov/authorities/subjects/sh85084898
Artificial Intelligence / Fast
Artificial Intelligence / Http://id.loc.gov/authorities/subjects/sh85008180
Artificial Intelligence
Intelligence Artificielle
Microprocessors / Fast
Computers / Hardware / General / Bisacsh
Artificial Intelligence / Aat
Computers / Hardware / Network Hardware / Bisacsh
Internet Of Things / Http://id.loc.gov/authorities/subjects/sh2013000266
Internet Of Things / Fast
Network Hardware / Bicssc
Computer Hardware / Bicssc
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1: Introduction to Data Science in the Classroom
  • Chapter 2: Data Science Goes Digital
  • Chapter 3: Experimenting with Weather
  • Chapter 4: Working with Large Data Sets
  • Chapter 5: Introduction to Data Analysis
  • Chapter 6: Introducing IoT to Data Science
  • Chapter 7: Using Bluetooth for Data Science
  • Chapter 8: Investigating the micro:bit Radio
  • Chapter 9: Using WiFi to connect to the Internet
  • Chapter 10: Introduction to Machine Learning and Artificial Intelligence
  • Chapter 11: Using ML services
  • Chapter 12: Connecting an edge device to the IoT application
  • Chapter 13: Consolidating our Learnings
  • Includes bibliographical references and index

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