Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems - Second Edition - Helion
Tytuł oryginału: Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems - Second Edition
ISBN: 9781835462966
Format: ebook
Księgarnia: Helion
Cena książki: 129,00 zł
Książka będzie dostępna od grudnia 2024
Keep up with the AI-IoT revolution with this comprehensive guide that explores the synergy between these transformative technologies, guided by Amita Kapoor, Chief AI Officer at TIPZ AI. With over 25 years of experience, Kapoor is a leading expert in AI and IoT, renowned for pioneering intelligent systems across industries and making neuroscience and AI education accessible worldwide. Through this book, she’ll help you develop the skills and knowledge needed to transform IoT devices into smart, efficient, and AI-driven systems.
This new edition is updated with various optimization techniques in IoT used for enhancing efficiency and performance. It introduces you to cloud platforms such as platform as a service (PaaS) and infrastructure as a service (IaaS) for analyzing data generated using IoT devices. You'll learn machine learning algorithms, deep learning techniques, and practical applications in real-world IoT scenarios and advance to creating AI models that work with diverse data types, including time series, images, and audio. You’ll also harness the power of widely used Python libraries, TensorFlow and Keras, to build a variety of smart AI models.
By the end of the book, you’ll emerge as a master of AI-driven IoT, armed with invaluable experience in optimizing IoT devices, enhancing their performance, and integrating AI algorithms to make intelligent decisions.
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Spis treści
Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems - Second Edition eBook -- spis treści
- 1. Principles and Foundations of IoT and AI
- 2. Data Access and Distributed Processing for IoT
- 3. Machine Learning and IoT integration
- 4. Deep Learning for IoT integration
- 5. Optimization Techniques in IoT
- 6. Reinforcement Learning for IoT
- 7. Generative Adversarial Networks for IoT
- 8. Distributed AI for IoT
- 9. AI Cloud Platforms for IoT
- 10. Deep Learning for Time Series Data from IoT
- 11. AI for Video and Image Data from IoT
- 12. AI for Text, Audio and Speech Data from IoT
- 13. Personal and Home and IoT
- 14. AI for Industrial IoT
- 15. AI for Smart Cities IoT