January 2019
Intermediate to advanced
390 pages
9h 16m
English
Overview
"Hands-On Artificial Intelligence for IoT" by Amita Kapoor guides readers through the process of developing intelligent IoT systems using cutting-edge AI techniques. You will learn how to gather, process, and analyze IoT data in real time with Python-based tools like TensorFlow and Keras, and how to apply machine learning and deep learning models to practical IoT applications.
What this Book will help me do
- Learn to gather, preprocess, and analyze IoT data using effective AI methods.
- Gain expertise in machine learning and deep learning techniques tailored for IoT.
- Master Python libraries such as TensorFlow and Keras for real-world AI implementations.
- Understand real-time prediction models for IoT data including time-series and multimedia.
- Explore case studies on IoT applications in industries, smart cities, and home automation.
Author(s)
Amita Kapoor is an accomplished AI and IoT expert with a strong background in computer science and rich teaching experience. She has authored multiple books and research papers on applied artificial intelligence. Amita has a passion for making challenging technical concepts accessible and empowering readers through practical insights and best practices.
Who is it for?
This book is ideal for data science professionals, software engineers, and IoT developers aiming to advance their AI and IoT expertise. If you have a foundational understanding of machine learning and are eager to apply these skills to build smarter IoT systems, this book offers a practical and enriching learning path.
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