Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems

Master AI and IoT integration, from fundamentals to advanced techniques, and revolutionize your approach to building intelligent, data-driven solutions across industriesKey FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataEnhance your IoT solutions with advanced AI techniques, including deep learning, optimization, and generative adversarial networksGain practical insights through industry-specific IoT case studies in manufacturing, smart cities, and automationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionTransform IoT devices into intelligent systems with this comprehensive guide by Amita Kapoor, Chief AI Officer at Tipz AI. Drawing on 25 years of expertise in developing intelligent systems across industries, she demonstrates how to harness the combined power of artificial intelligence and IoT technology. A pioneer in making AI and neuroscience education accessible worldwide, Amita guides you through creating smart, efficient systems that leverage the latest advances in both fields. 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 about 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, boosting their performance, and integrating AI algorithms to make intelligent decisions.What you will learnIntegrate AI and IoT for enhanced device intelligenceUnderstand how to build scalable and efficient IoT systemsMaster both supervised and unsupervised machine learning techniques for processing IoT dataExplore the full potential of deep learning in IoT applicationsDiscover AI-driven strategies to optimize IoT system efficiencyImplement real-world IoT projects that leverage AI capabilitiesImprove device performance and decision-making using AI algorithmsWho this book is forThis book is for IoT developers, engineers, and tech enthusiasts, particularly those with a background in Python, looking to integrate artificial intelligence and machine learning into IoT systems. Python developers eager to apply their knowledge in new, innovative ways will find it useful. It’s also an invaluable guide for anyone with a foundational understanding of IoT concepts ready to take their skills to the next level and shape the future of intelligent devices.Table of ContentsPrinciples and Foundations of IoT and AIData Access and Distributed Processing for IoTMachine Learning for IoTDeep Learning for IoTOptimization Techniques in IoTReinforcement Learning for IoTGenerative Adversarial Networks for IoTDistributed AI for IoTAI Cloud Platforms for IoTDeep Learning for Time Series Data from IoTAI for Video and Image Data from IoTAI for Text, Audio and Speech Data from IoTAI for Personal and Home IoTAI for Industrial IoTAI for Smart Cities IoT Read more