beginning data science iot de meitiner philip (17 resultados)

Condición: New.

Paperback or Softback. Condición: New. Beginning Data Science, Iot, and AI on Single Board Computers: Core Skills and Real-World Application with the BBC Micro: Bit and Xinabox. Book.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. 2020. 1st ed. paperback. . . . . .

Condición: New. In English.

PF. Condición: New.

Paperback. Condición: Brand New. 329 pages. 9.25x6.10x0.79 inches. In Stock.

Condición: New. 2020. 1st ed. paperback. . . . . . Books ship from the US and Ireland.

Condición: New. pp. 300.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 Scienceand 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 informationWho This Book Is ForEducators, citizen scientists, and tinkerers interested in an introduction to the concepts of IoT and data on a broad scale. 316 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gain a solid&nbspfoundation&nbspof key concepts for the data science field and shows readers how to apply them using simple technologyConnect to IoT platforms and use them to understand how to work with data through this.

Condición: New. PRINT ON DEMAND pp. 300.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 Scienceand 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 informationWho This Book Is ForEducators, citizen scientists, and tinkerers interested in an introduction to the concepts of IoT and data on a broad scale.