Ai Iot And Machine Learning Basics
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Ai Iot And Machine Learning Basics
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Author : Aashish Mishra
language : en
Publisher: Shodh sagar international publication
Release Date : 2025-05-28
Ai Iot And Machine Learning Basics written by Aashish Mishra and has been published by Shodh sagar international publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Computers categories.
AI, IoT and Machine Learning Basics is a concise, beginner-friendly guide that demystifies the core technologies shaping the future. Whether you're a student, tech enthusiast, or a professional seeking to understand the digital transformation landscape, this book offers clear explanations and practical insights into three of today's most disruptive technologies: Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML). Inside, you'll learn: What AI, IoT, and ML really mean — and how they’re different Real-world applications across industries Key concepts, tools, and terminology made easy The ethical and societal implications of intelligent systems How these technologies work together to power smart solutions Perfect for non-technical readers and those new to the field, this book provides a solid foundation to begin exploring more advanced topics. If you're curious about the tech revolution and want a clear, jargon-free introduction, this is the book for you.
Ai Iot And Machine Learning Basics
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Author : Dr Aadam Quraishi MD
language : en
Publisher: Xoffencer intrernational book publication house
Release Date : 2024-12-30
Ai Iot And Machine Learning Basics written by Dr Aadam Quraishi MD and has been published by Xoffencer intrernational book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
The 21st century has ushered in a period of unparalleled technological developments, which have radically altered how we live, work, and interact with the environment that surrounds us. Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) are three revolutionary technologies that are at the heart of this massive upheaval. These technologies are no longer something that will be developed in the future; rather, they are now influencing industries, spurring innovation, and building systems that are smarter and more connected. Since the advent of the digital revolution, the gap between the physical and virtual realities has been crossed. This has made it possible for computers to carry out activities, make judgments, and learn from data with minimum assistance from humans. The Internet of Things (IoT) links common devices to the Internet, artificial intelligence (AI) enables systems to imitate human intellect, and machine learning (ML) enables computers to learn from huge quantities of data to make predictions and improve performance over time. In a society that is becoming more and more dependent on intelligent solutions, understanding these technologies is no longer an option. Artificial intelligence (AI), the Internet of Things (IoT), and machine learning have permeated every facet of contemporary life, from wearable gadgets and smart homes to predictive healthcare and driverless automobiles. What drives me: As will be explained in the chapter, the AI/ML-based Internet of Things systems are making significant contributions to the advancement of all areas of technology and society. As a result, gaining knowledge about these systems, even if it is in a general sense, would be beneficial to our growth even in our specialized areas. Because it has demonstrated its usefulness across all sectors and businesses, the potential that this technological combination possesses is not something that one can either ignore or choose to ignore. It will undoubtedly transform from a talent that can be added to one that is required in the future. In this chapter, you will get an understanding of the most popular 2 | P a g e terminology in the world of technology today, including artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT), as well as how these concepts interact with one another. In this course, you will learn about the rapidly expanding field of artificial intelligence-based Internet of Things (IoT) technologies and how these systems are utilized in everyday life to simplify our lives and enrich our experiences. Your perspective will broaden as a result of the numerous applications that will be discussed, particularly about how this technology may be utilized and how you can benefit from it. 1.2 ARTIFICIAL INTELLIGENCE We all now have a general understanding of artificial intelligence and how it works. To summarise the information that was presented in the introduction, artificial intelligence (AI) can be defined as "a vast branch of computer science that endeavors to build smart entities capable of performing intelligent tasks without human intervention." In other words, AI is the simulation of human intelligence in machines, which grants them the capabilities to mimic and behave like humans. These entities are grouped under a single umbrella term known as Intelligent Agents (IA). If an entity can see its surroundings, comprehend it, and act upon it, then that creature is considered an IA. It is possible to perceive it as being composed of three halves. First, there are the Sensors in the system. It is a reference to the portion of the AI that is responsible for assisting it in perceiving stimuli from the outside environment. The Actuators are the second entity in the system. AI can include methods that create the required effects with the assistance of this. The third component of the agent is the Effector, which is utilized by the agent to exert its influence on the surrounding environment. Consequently, we can comprehend the idea of PEAS from this. Performance Measurement, Environment, Actuator, and Sensor are the components that make up PEAS. Using PEAS, we can gain a more in-depth understanding of Intelligent Agents, which in turn helps us develop more effective Rational Agents. A performance metric is a judgment of how well something is performing. Environment is a term that relates to the surrounding environment, which includes the entities that are doing the act. Actuators are the components or instruments that are essential to the operation of the mechanism
Artificial Intelligence Iot And Machine Learning
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Author : Praveen Donepudi
language : en
Publisher:
Release Date : 2021-02-08
Artificial Intelligence Iot And Machine Learning written by Praveen Donepudi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with categories.
Artificial Intelligence For Iot Cookbook
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Author : Michael Roshak
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-05
Artificial Intelligence For Iot Cookbook written by Michael Roshak 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 2021-03-05 with Computers categories.
Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data Key FeaturesDiscover quick solutions to common problems that you'll face while building smart IoT applicationsImplement advanced techniques such as computer vision, NLP, and embedded machine learningBuild, maintain, and deploy machine learning systems to extract key insights from IoT dataBook Description Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users' lives easier. With this AI cookbook, you'll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You'll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you'll learn how to deploy models and improve their performance with ease. By the end of this book, you'll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems. What you will learnExplore various AI techniques to build smart IoT solutions from scratchUse machine learning and deep learning techniques to build smart voice recognition and facial detection systemsGain insights into IoT data using algorithms and implement them in projectsPerform anomaly detection for time series data and other types of IoT dataImplement embedded systems learning techniques for machine learning on small devicesApply pre-trained machine learning models to an edge deviceDeploy machine learning models to web apps and mobile using TensorFlow.js and JavaWho this book is for If you're an IoT practitioner looking to incorporate AI techniques to build smart IoT solutions without having to trawl through a lot of AI theory, this AI IoT book is for you. Data scientists and AI developers who want to build IoT-focused AI solutions will also find this book useful. Knowledge of the Python programming language and basic IoT concepts is required to grasp the concepts covered in this artificial intelligence book more effectively.
Machine Learning And Iot For Intelligent Systems And Smart Applications
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Author : Madhumathy P
language : en
Publisher: CRC Press
Release Date : 2021-11-17
Machine Learning And Iot For Intelligent Systems And Smart Applications written by Madhumathy P and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-17 with Computers categories.
The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.
Machine Learning And The Internet Of Medical Things In Healthcare
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Author : Krishna Kant Singh
language : en
Publisher: Academic Press
Release Date : 2021-04-14
Machine Learning And The Internet Of Medical Things In Healthcare written by Krishna Kant Singh and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-14 with Science categories.
Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. - Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning - Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics - Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies
Agriculture 5 0
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Author : Latief Ahmad
language : en
Publisher: CRC Press
Release Date : 2021-03-24
Agriculture 5 0 written by Latief Ahmad and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-24 with Science categories.
Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership. This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV’s or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA. Features: Detailed description of the latest tools and technologies available for the Agriculture 5.0. Elaborative information for different type of hardware, platforms and machine learning techniques for use in smart farming. Elucidates various types of predictive modeling techniques available for intelligent and accurate agricultural decision making from real time collected information for site specific precision farming. Information about different type of regulations and policies made by all over the world for the motivation farmers and innovators to invest and adopt the AI and ML enabled tools and farming systems for sustainable production.
Tinyml
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Author : Pete Warden
language : en
Publisher: O'Reilly Media
Release Date : 2019-12-16
Tinyml written by Pete Warden and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-16 with Computers categories.
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size
Artificial Intelligence To Solve Pervasive Internet Of Things Issues
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Author : Gurjit Kaur
language : en
Publisher: Academic Press
Release Date : 2020-11-23
Artificial Intelligence To Solve Pervasive Internet Of Things Issues written by Gurjit Kaur and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Science categories.
Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.