January 2019
Intermediate to advanced
390 pages
9h 16m
English
Content preview from Hands-On Artificial Intelligence for IoT
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Preface
The mission of this book is to enable the reader to build AI-enabled IoT applications. With the surge in popularity of IoT devices, there are many applications that use data science and analytics to utilize the terabyte of data generated. However, these applications do not address the challenge of continually discovering patterns in IoT data. In this book, we cover the various aspects of AI theory and implementation that the reader can utilize to make their IoT solutions smarter by implementing AI techniques.
The reader starts by learning the basics of AI and IoT devices and how to read IoT data from various sources and streams. Then we introduce various ways to implement AI with examples in TensorFlow, scikit learn, and Keras. The ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.