000			01960nam a22002177a 4500
005			20250904134057.0
008			s2019 ||||f| |||| 0|eng |
020			_a9783030041106
040			_aGR-AtMCL _beng
100			_aKapoor, Amita _4070 _910094
245	0	0	_aHands-on artificial intelligence for IoT: _bexpert machine learning and deep learning techniques for developing smarter IoT systems
250			_a1st ed.
264		1	_aBirmingham : _bPackt, _c2019.
300			_a376 p.: _bill.; _c24 cm.
347			_atext file _bPDF _2rda
520			_aThere are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence.
650		0	_aComputing _99851
650		0	_aArtificial intelligence _99888
942			_cBK
999			_c9926 _d9926