Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems
Author:   Amita Kapoor
Publisher:   Packt Publishing Limited
ISBN:  

9781788836067


Pages:   390
Publication Date:   31 January 2019
Format:   Paperback
Availability:   Available To Order   Availability explained
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Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems


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Author:   Amita Kapoor
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781788836067


ISBN 10:   1788836065
Pages:   390
Publication Date:   31 January 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Principles and Foundations of IoT and AI Data Access and Distributed Processing for IoT Machine Learning for IoT Deep Learning for IoT Genetic Algorithms for IoT Reinforcement Learning for IoT GAN for IoT Distributed AI for IoT Personal and Home and IoT AI for Industrial IoT AI for Smart Cities IoT Combining It All Together

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Author Information

Amita Kapoor is an associate professor in the Department of Electronics, SRCASW, University of Delhi, and has been actively teaching neural networks and artificial intelligence for the last 20 years. She completed her master's in electronics in 1996 and her PhD in 2011. During her PhD she was awarded the prestigious DAAD fellowship to pursue part of her research at the Karlsruhe Institute of Technology, Karlsruhe, Germany. She was awarded the Best Presentation Award at the Photonics 2008 international conference. She is an active member of ACM, AAAI, IEEE, and INNS. She has co-authored two books. She has more than 40 publications in international journals and conferences. Her present research areas include machine learning, artificial intelligence, deep reinforcement learning, and robotics.

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