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Hands-On Artificial Intelligence for IoT

You're reading from   Hands-On Artificial Intelligence for IoT Expert machine learning and deep learning techniques for developing smarter IoT systems

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788836067
Length 390 pages
Edition 2nd Edition
Languages
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Author (1):
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Dr. Amita Kapoor Dr. Amita Kapoor
Author Profile Icon Dr. Amita Kapoor
Dr. Amita Kapoor
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Table of Contents (14) Chapters Close

Preface 1. Principles and Foundations of IoT and AI 2. Data Access and Distributed Processing for IoT FREE CHAPTER 3. Machine Learning for IoT 4. Deep Learning for IoT 5. Genetic Algorithms for IoT 6. Reinforcement Learning for IoT 7. Generative Models for IoT 8. Distributed AI for IoT 9. Personal and Home IoT 10. AI for the Industrial IoT 11. AI for Smart Cities IoT 12. Combining It All Together 13. Other Books You May Enjoy

HDF5 format

Hierarchical Data Format (HDF) is a specification put together by the HDF Group, a consortium of academic and industry organizations (https://support.hdfgroup.org/HDF5/). In HDF5 files, data is organized into groups and datasets. A group is a collection of groups or datasets. A dataset is a multidimensional homogeneous array.

In Python, PyTables and h5py are two major libraries for handling HDF5 files. Both these libraries require HDF5 to be installed. For the parallel version of HDF5, a version of MPI is also required to be installed. Installation of HDF5 and MPI is beyond the scope of this book. Installation instructions for parallel HDF5 can be found at the following link: https://support.hdfgroup.org/ftp/HDF5/current/src/unpacked/release_docs/INSTALL_parallel.

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Hands-On Artificial Intelligence for IoT - Second Edition
Published in: Jan 2019
Publisher: Packt
ISBN-13: 9781788836067
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