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portada Internet of Things: Building Predictive Maintenance Systems (Your Guide to the Connected Future and Programming Digital Circuits With Pyth
Type
Physical Book
Language
Inglés
Pages
192
Format
Paperback
Dimensions
20.3 x 12.7 x 1.0 cm
Weight
0.20 kg.
ISBN13
9781990373961

Internet of Things: Building Predictive Maintenance Systems (Your Guide to the Connected Future and Programming Digital Circuits With Pyth

Jose Blevins (Author) · Regina Loviusher · Paperback

Internet of Things: Building Predictive Maintenance Systems (Your Guide to the Connected Future and Programming Digital Circuits With Pyth - Blevins, Jose

Physical Book

£ 17.81

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Thursday, July 04 and Tuesday, July 16.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Internet of Things: Building Predictive Maintenance Systems (Your Guide to the Connected Future and Programming Digital Circuits With Pyth"

Have you ever wondered how the technology that is shaping our world works?From mainstream technologies such as computing and the Internet, to emerging technologies such as artificial intelligence and quantum computing, it is no secret that the world is heavily influenced by technology. Yet, the technology that we depend upon is often not fully understood by those not specialized in the field. You are going to learn: What the internet of things really is (and what it is not)How the internet of things is going to affect our livesHow the iot & smart homes will change our householdsWhat iot means for corporations & their business modelsThe main benefits if iot (this will surprise you)Current shortcomings in iot to watch out forThis book is an essential resource for engineers, developers, and data scientists working in the field of industrial IoT. Whether you're a beginner or an experienced practitioner, this book will provide you with the knowledge and skills you need to build effective predictive maintenance systems for industrial IoT applications

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