Kapoor Hands-On Artificial Intelligence for IoT

Expert machine learning and deep learning techniques for developing smarter IoT systems
2. Auflage 2019
ISBN: 978-1-78883-276-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 390 Seiten

No detailed description available for "Hands-On Artificial Intelligence for IoT".

Autoren/Hrsg.

Kapoor, Amita

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

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

Über Autor(innen)

Kapoor Amita:
Amita Kapoor is an accomplished AI consultant and educator, with over 25 years of experience. She has received international recognition for her work, including the DAAD fellowship and the Intel Developer Mesh AI Innovator Award. She is a highly respected scholar in her field, with over 100 research papers and several best-selling books on deep learning and AI. After teaching for 25 years at the University of Delhi, Amita took early retirement and turned her focus to democratizing AI education. She currently serves as a member of the Board of Directors for the non-profit Neuromatch Academy, fostering greater accessibility to knowledge and resources in the field. Following her retirement, Amita also founded NePeur, a company that provides data analytics and AI consultancy services. In addition, she shares her expertise with a global audience by teaching online classes on data science and AI at the University of Oxford.