Hands On Artificial Intelligence For Iot

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Hands On Artificial Intelligence For Iot

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Author : Dr. Amita Kapoor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-05-16

Hands On Artificial Intelligence For Iot written by Dr. Amita Kapoor and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Computers categories.

Master AI and IoT integration, from fundamentals to advanced techniques, and revolutionize your approach to building intelligent, data-driven solutions across industries Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Enhance your IoT solutions with advanced AI techniques, including deep learning, optimization, and generative adversarial networks Gain practical insights through industry-specific IoT case studies in manufacturing, smart cities, and automation Purchase of the print or Kindle book includes a free PDF eBook Book 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. *Email sign-up and proof of purchase requiredWhat you will learn Integrate AI and IoT for enhanced device intelligence Understand how to build scalable and efficient IoT systems Master both supervised and unsupervised machine learning techniques for processing IoT data Explore the full potential of deep learning in IoT applications Discover AI-driven strategies to optimize IoT system efficiency Implement real-world IoT projects that leverage AI capabilities Improve device performance and decision-making using AI algorithms Who this book is for This 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.

Hands On Artificial Intelligence For Iot

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Author : Amita Kapoor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-31

Hands On Artificial Intelligence For Iot written by Amita Kapoor and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-31 with Computers categories.

Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataProcess IoT data and predict outcomes in real time to build smart IoT modelsCover practical case studies on industrial IoT, smart cities, and home automationBook Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learnApply different AI techniques including machine learning and deep learning using TensorFlow and KerasAccess and process data from various distributed sourcesPerform supervised and unsupervised machine learning for IoT dataImplement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platformsForecast time-series data using deep learning methodsImplementing AI from case studies in Personal IoT, Industrial IoT, and Smart CitiesGain unique insights from data obtained from wearable devices and smart devicesWho this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.

Hands On Artificial Intelligence For Iot

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Author : Pandi selvi P
language : en
Publisher:
Release Date : 2023-07-02

Hands On Artificial Intelligence For Iot written by Pandi selvi P and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-02 with Computers categories.

The reader starts by learning the basics of AI and IoT devices and how to read IoT data from various sources and streams. Then we introduce various ways to implement AI with examples in TensorFlow, scikit learn, and Keras. The topics covered include machine learning, deep learning, genetic algorithms, reinforcement learning, and generative adversarial networks. We also show the reader how to implement AI using distributed technologies and on the cloud. Once the reader is familiar with AI techniques, then we introduce various techniques for different kinds of data generated and consumed by IoT devices, such as time series, images, audio, video, text, and speech. After explaining various AI techniques on various kinds of IoT data, finally, we share some case studies with the reader from the four major categories of IoT solutions: personal IoT, home IoT, industrial IoT, and smart city IoT.

Hands On Deep Learning For Iot

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Author : Md. Rezaul Karim
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-06-27

Hands On Deep Learning For Iot written by Md. Rezaul Karim and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-27 with Computers categories.

Implement popular deep learning techniques to make your IoT applications smarter Key FeaturesUnderstand how deep learning facilitates fast and accurate analytics in IoTBuild intelligent voice and speech recognition apps in TensorFlow and ChainerAnalyze IoT data for making automated decisions and efficient predictionsBook Description Artificial Intelligence is growing quickly, which is driven by advancements in neural networks(NN) and deep learning (DL). With an increase in investments in smart cities, smart healthcare, and industrial Internet of Things (IoT), commercialization of IoT will soon be at peak in which massive amounts of data generated by IoT devices need to be processed at scale. Hands-On Deep Learning for IoT will provide deeper insights into IoT data, which will start by introducing how DL fits into the context of making IoT applications smarter. It then covers how to build deep architectures using TensorFlow, Keras, and Chainer for IoT. You’ll learn how to train convolutional neural networks(CNN) to develop applications for image-based road faults detection and smart garbage separation, followed by implementing voice-initiated smart light control and home access mechanisms powered by recurrent neural networks(RNN). You’ll master IoT applications for indoor localization, predictive maintenance, and locating equipment in a large hospital using autoencoders, DeepFi, and LSTM networks. Furthermore, you’ll learn IoT application development for healthcare with IoT security enhanced. By the end of this book, you will have sufficient knowledge need to use deep learning efficiently to power your IoT-based applications for smarter decision making. What you will learnGet acquainted with different neural network architectures and their suitability in IoTUnderstand how deep learning can improve the predictive power in your IoT solutionsCapture and process streaming data for predictive maintenanceSelect optimal frameworks for image recognition and indoor localizationAnalyze voice data for speech recognition in IoT applicationsDevelop deep learning-based IoT solutions for healthcareEnhance security in your IoT solutionsVisualize analyzed data to uncover insights and perform accurate predictionsWho this book is for If you’re an IoT developer, data scientist, or deep learning enthusiast who wants to apply deep learning techniques to build smart IoT applications, this book is for you. Familiarity with machine learning, a basic understanding of the IoT concepts, and some experience in Python programming will help you get the most out of this book.

Mastering Ai For Iot

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Author : Watson T Rutherford
language : en
Publisher: Independently Published
Release Date : 2025-07-27

Mastering Ai For Iot written by Watson T Rutherford and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-27 with Computers categories.

Have you ever wondered how your smart home actually learns your habits? Or how self-regulating factories, intelligent farms, and predictive healthcare systems are becoming not just real-but essential? Now, pause and think: Do you know what happens when Artificial Intelligence meets the Internet of Things? What if you could do more than just imagine these technologies? What if you could build them-yourself? This isn't just another AI or IoT book. This is your roadmap into the cutting-edge fusion of two of the most transformative technologies of our time. Whether you're an engineer, student, developer, or an ambitious innovator-are you ready to stop reading about smart systems and start creating them? Let me ask you something: Do you truly understand how machine learning enhances sensor data in real-world environments? Can you confidently deploy a deep learning model on a low-power edge device? Have you ever built an AI system that can monitor, analyze, and respond autonomously to physical changes in the environment? If not-why not? MASTERING AI FOR IOT strips away the hype and delivers real-world answers. You'll get your hands dirty with: Hands-on, guided projects that take you from concept to deployment Practical use of Python, TensorFlow, PyTorch, and edge platforms like ESP32 and Raspberry Pi Training and deploying models for smart agriculture, industrial automation, predictive maintenance, home automation, and more Integration of data analytics, cloud services, and real-time feedback loops But more than projects, this book challenges you to think differently about intelligence in machines. To ask the hard questions: How do you make AI explainable in an IoT system? How do you build AI you can trust-that respects privacy, scales reliably, and stays resilient in the real world? Are your devices just connected-or truly intelligent? This book doesn't assume you already know everything. But it expects you to want more. It's not about sitting back and watching AI change the world. It's about standing up, coding, wiring, training, deploying-and leading the change yourself. If you're ready to move past theory... If you're ready to build real solutions that live at the intersection of hardware, data, and intelligence... Then ask yourself: Why wait? Why watch the AIoT revolution from the sidelines when you could be the one driving it?

Iot Ai And Blockchain For Net

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Author : Nishith Pathak
language : en
Publisher: Apress
Release Date : 2018-11-08

Iot Ai And Blockchain For Net written by Nishith Pathak and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-08 with Computers categories.

Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain, so your latest app can be not just smarter but also more connected and more secure than ever before. This book covers the latest easy-to-use APIs and services from Microsoft, including Azure IoT, Cognitive Services APIs, Blockchain as a Service (BaaS), and Machine Learning Studio. As you work through the book, you’ll get hands-on experience building an example solution that uses all of these technologies—an IoT suite for a smart healthcare facility. Hosted on Azure and networked using Azure IoT, the solution includes centralized patient monitoring, using Cognitive Services APIs for face detection, recognition, and tracking. Blockchain is used to create trust-based security and inventory management. Machine learning is used to create predictive solutions to proactively improve quality of life. By the end of the book, you’ll be confident creating richer and smarter applications using these technologies. What You’ll Learn Know the technologies underpinning Industry 4.0 and AI 2.0 Develop real-time solutions using IoT in Azure Bring the smart capabilities of AI 2.0 into your application using a simple API call Host and manage your solution on Azure Understand Blockchain as a Service Capture and analyze data on the fly Make predictions using existing data Who This Book Is For Novice and intermediate .NET developers and architects who want to learn what it takes to create a modern or next-generation application

Fusion Of Artificial Intelligence And Machine Learning In Advanced Image Processing

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Author : Arun Kumar Rana
language : en
Publisher: CRC Press
Release Date : 2024-11-22

Fusion Of Artificial Intelligence And Machine Learning In Advanced Image Processing written by Arun Kumar Rana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Computers categories.

This book focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various artificial intelligence paradigms. It looks at recent technological advancements and considers how artificial intelligence, machine learning, deep learning, soft computing, and evolutionary computing techniques can be used to design, implement, and optimize advanced image processing, data analysis, and cyber security engineering solutions. It will readers develop the insight required to use the tools of digital imaging to solve new problems. The book is divided into sections that deal with Artificial intelligence and machine learning in medicine and healthcare Intelligent decision-making and analysis technology Machine learning and deep learning for agriculture Artificial intelligence and machine learning for security solutions Automation in image processing Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security offers a selection of chapters on the application of artificial intelligence and machine learning for advanced image processing, data analysis, and cyber security. This book will surely enhance the knowledge of readers interested in these areas.

Artificial Intelligence To Analyze Psychophysical And Human Lifestyle

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Author : Gunjan Chhabra
language : en
Publisher: Springer Nature
Release Date : 2023-09-19

Artificial Intelligence To Analyze Psychophysical And Human Lifestyle written by Gunjan Chhabra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-19 with Psychology categories.

This book is about the use of technology/artificial intelligence in the areas of human behavior and psychology, health and nutrition, and fitness and sports. Everybody has his/her own lifestyle but may not necessarily be aware of what constitutes a healthy lifestyle. Knowledge gained from the Internet may be scattered and inaccurate and, if adhered to, may lead to loss of life. The COVID-19 pandemic increased people's awareness of the need for a healthy lifestyle but how to adopt a healthy lifestyle is something to be clarified since every individual is different (body type, situation, etc.), and hence, their needs will be different as well. This book addresses such questions and explores how the use of technology in the areas mentioned above can enable each individual to easily achieve a healthy lifestyle.

Convergence Of Deep Learning And Artificial Intelligence In Internet Of Things

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Author : Ajay Rana
language : en
Publisher: CRC Press
Release Date : 2022-12-27

Convergence Of Deep Learning And Artificial Intelligence In Internet Of Things written by Ajay Rana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-27 with Computers categories.

This book covers advances and applications of smart technologies including the Internet of Things (IoT), artificial intelligence, and deep learning in areas such as manufacturing, production, renewable energy, and healthcare. It also covers wearable and implantable biomedical devices for healthcare monitoring, smart surveillance, and monitoring applications such as the use of an autonomous drone for disaster management and rescue operations. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology. • Covers concepts, theories, and applications of artificial intelligence and deep learning, from the perspective of the Internet of Things. • Discusses powers predictive analysis, predictive maintenance, and automated processes for making manufacturing plants more efficient, profitable, and safe. • Explores the importance of blockchain technology in the Internet of Things security issues. • Discusses key deep learning concepts including trust management, identity management, security threats, access control, and privacy. • Showcases the importance of intelligent algorithms for cloud-based Internet of Things applications. This text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the Internet of Things. It further discusses applications of smart technologies in diverse sectors such as agriculture, smart home, production, manufacturing, transport, and healthcare.

Big Data And Artificial Intelligence Technologies For Smart Forestry

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Author : Weipeng Jing
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-30

Big Data And Artificial Intelligence Technologies For Smart Forestry written by Weipeng Jing and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-30 with Science categories.