Artificial Intelligence And Machine Learning
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Artificial Intelligence And Machine Learning Principles And Applications
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Author : Dr. Shashi Tanwar
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-08-07
Artificial Intelligence And Machine Learning Principles And Applications written by Dr. Shashi Tanwar and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-07 with Study Aids categories.
“Artificial Intelligence and Machine Learning – Principles and Applications” is a comprehensive guide that delves into the core concepts, methodologies, and practical implementations of AI and machine learning. Authored with clarity and expertise, it serves as an indispensable resource for both beginners and seasoned professionals in the field. The book begins by elucidating the fundamental principles underlying artificial intelligence and machine learning, providing readers with a solid foundation to build upon. From there, it progresses into more advanced topics, covering a wide range of algorithms, techniques, and applications across various domains. Readers are guided through the intricacies of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Each concept is accompanied by illustrative examples and offers a hands-on approach to learning. Furthermore, the book explores the ethical and societal implications of AI and machine learning, prompting readers to consider the broader implications of their work. It discusses issues such as bias, fairness, privacy, and transparency, encouraging a responsible approach to AI development and deployment. One of the standout features of “Artificial Intelligence and Machine Learning – Principles and Applications” is its emphasis on practical applications. It provides insights into how AI and machine learning techniques can be leveraged to solve complex problems in areas such as healthcare, finance, marketing, and beyond. Overall, this book serves as an invaluable resource for anyone looking to gain a comprehensive understanding of artificial intelligence and machine learning, offering both theoretical insights and practical guidance for real-world implementation.
Basics Of Artificial Intelligence Machine Learning
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Author : Dr Dheeraj Mehrotra
language : en
Publisher: Notion Press
Release Date : 2019-06-03
Basics Of Artificial Intelligence Machine Learning written by Dr Dheeraj Mehrotra and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-03 with Computers categories.
The concept of Artificial Intelligence (AI) & Machine Learning (ML) has been in practice for over years with the advent of technological progress. Over time, it has blended our lives through nearly every narration of learning, teaching, enjoyment, normal routine operations and what not. The aspect delivers a common understanding of the topics with reference to it making an impact on our lives, with a better framework of technology affecting our lives in particular. Let us look up to science for a change to be brought about in us. Let us create awareness of making technology available to people, in a broader sense. As that happens, people who are responsible need to be told about the use and misuse of the same. As we lead our lives, we come across the fact that AI, Robotics and Learning Machines seem to be the household topic of discussion. Earlier, AI was perceived to be reserved for only ‘Geniuses’ or ‘Researchers’ or the ‘computer’ community, but it very aptly integrates and impacts each and every aspect of our lives. Knowingly or unknowingly, it has become intellectually influential in shaping our thoughts, actions and the day-to-day chores.
Artificial Intelligence And Machine Learning For Edge Computing
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Author : Rajiv Pandey
language : en
Publisher: Academic Press
Release Date : 2022-04-26
Artificial Intelligence And Machine Learning For Edge Computing written by Rajiv Pandey and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-26 with Science categories.
Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. - Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing - Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers - Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints
The Ultimate Modern Guide To Artificial Intelligence
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Author : Enamul Haque
language : en
Publisher: Enamul Haque
Release Date : 2020-07-21
The Ultimate Modern Guide To Artificial Intelligence written by Enamul Haque and has been published by Enamul Haque this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-21 with Computers categories.
The era of artificial intelligence has arrived. You, who only felt far from artificial intelligence, and the growing dream trees, are now inseparable from artificial intelligence. What does AI have to do with me? Isn't it a distant future that has nothing to do with me, not a scientist, a technician, or a computer programmer? Well, Artificial intelligence is not a story of someone who has nothing to do with it, but the fact is, it is now everyone's story. AI is already deeply infiltrating everyone's life. The question is no longer whether we use technology or not; it's about working together in a better way. Surrounding technologies like Siri, Alexa, or Cortana are seamlessly integrated into our interactions. We walk into the room, turn on the lights, play songs, change the room temperature, keep track of shopping lists, book a ride at the airport, or remind ourselves to take the proper medication on time. It is now necessary to look at artificial intelligence from a broader and larger perspective. You should not just hang on to complex deep learning algorithms and think only through science and technology but through the eyes of emotions and humanities. These days, elementary school students learn English and coding at school. Tomorrow's elementary school students will learn AI. Of course, not everyone needs to be an AI expert. But if you don't understand AI, you will be left out of the trend of changing times. AI comes before English and coding. This is because artificial intelligence is the language and tool of the future. This book opens your door to the most critical understanding needed of AI and other relevant disruptive technologies. Artificial intelligence will significantly change societal structures and the operations of companies. The next generation of employees needs to be trained as a workforce before entering the job market, and the existing workforce is regularly recharged and skilled. There is plenty on this for reskilling too. This is the most definitive compendium of AI, The Internet of Things, Machine Learning, Deep Learning, Data Science, Big Data, Cloud Computing, Neural networks, Robotics, the future of work and the future of intelligent industries.
Artificial Intelligence
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Author : Christina Ahmet
language : en
Publisher: Shockwave Publishing via PublishDrive
Release Date : 2018-11-20
Artificial Intelligence written by Christina Ahmet and has been published by Shockwave Publishing via PublishDrive this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-20 with Computers categories.
Currently, Artificial Intelligence (AI) lives amongst the human population. They reside in smartphones. They help people find content on the internet. They learn the behavior of their owners and put out relevant, interesting content to enhance their owner's experience while they are browsing on the internet. In this book you will learn all about Artificial Intelligence and how it will affect your life in the near future. Learn exactly what Artificial Intelligence is Machine Learning AI and The Internet Of Things Opportunities for Artificial Intelligence Intelligent IoT and much much more!
Machine Learning And Artificial Intelligence
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Author : Ameet V Joshi
language : en
Publisher: Springer Nature
Release Date : 2019-09-24
Machine Learning And Artificial Intelligence written by Ameet V Joshi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-24 with Technology & Engineering categories.
This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. Presents a full reference to artificial intelligence and machine learning techniques - in theory and application; Provides a guide to AI and ML with minimal use of mathematics to make the topics more intuitive and accessible; Connects all ML and AI techniques to applications and introduces implementations.
Applications Of Artificial Intelligence And Machine Learning
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Author : Ankur Choudhary
language : en
Publisher: Springer Nature
Release Date : 2021-07-27
Applications Of Artificial Intelligence And Machine Learning written by Ankur Choudhary and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-27 with Computers categories.
The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.
Artificial Intelligence And Machine Learning Guide Ai Fundamentals
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Author : Amol Mahajan
language : en
Publisher: Amol Mahajan
Release Date : 2026-01-08
Artificial Intelligence And Machine Learning Guide Ai Fundamentals written by Amol Mahajan and has been published by Amol Mahajan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-08 with Computers categories.
Artificial Intelligence and Machine Learning Guide: AI Fundamentals is a comprehensive and beginner-friendly resource designed to help readers understand, apply, and master the core concepts of Artificial Intelligence (AI) and Machine Learning (ML). This expertly structured 15-chapter guide takes you step-by-step through the foundations of AI and ML, starting from basic concepts such as supervised and unsupervised learning, data preprocessing, and ML algorithms, and gradually advancing to powerful topics like neural networks, deep learning, natural language processing (NLP), reinforcement learning, and transfer learning. The book emphasizes practical understanding through real-world examples, industry use cases, and clear explanations that make even complex AI concepts easy to grasp. Readers will also explore model evaluation metrics, AI scalability, ethical AI practices, and model deployment strategies used in modern intelligent systems. Whether you are a student, working professional, developer, data analyst, or technology enthusiast, this guide equips you with the essential knowledge needed to confidently navigate today’s rapidly evolving AI-driven world. Key highlights of this book include: • Clear explanations of AI and Machine Learning fundamentals • Practical insights into data preprocessing and ML algorithms • In-depth coverage of neural networks and deep learning • Introduction to Natural Language Processing (NLP) and reinforcement learning • Real-world AI case studies and applications • Ethical considerations and the societal impact of AI • Future trends and challenges in Artificial Intelligence Artificial Intelligence and Machine Learning Guide: AI Fundamentals is an ideal learning companion for beginners starting their AI journey as well as professionals seeking to strengthen their conceptual foundation and practical understanding of intelligent technologies. Artificial Intelligence book Machine Learning guide AI fundamentals Machine learning basics Deep learning book Neural networks guide AI for beginners Machine learning practical guide NLP basics Reinforcement learning Data preprocessing in ML Ethical AI AI case studies AI applications Future of AI Artificial Intelligence Machine Learning AI Fundamentals Deep Learning Neural Networks Data Science NLP Reinforcement Learning AI Ethics AI Applications ML Algorithms Technology Education Computer Science #ArtificialIntelligence #MachineLearning #AIFundamentals #DeepLearning #NeuralNetworks #AIForBeginners #MLAlgorithms #DataScience #NLP #ReinforcementLearning #EthicalAI #AIApplications #FutureOfAI #TechEducation #LearnAI
Basics Of Artificial Intelligence And Machine Learning
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Author : Feroz Khan
language : en
Publisher: Independently Published
Release Date : 2024-10-16
Basics Of Artificial Intelligence And Machine Learning written by Feroz Khan and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with categories.
Basics of Artificial Intelligence and Machine Learning Defining AI and ML: A clear and concise explanation of the terms "artificial intelligence" and "machine learning," differentiating them from one another while emphasizing their interconnectedness. Historical Context: A brief overview of the evolution of AI and ML, tracing their roots back to early pioneers and significant milestones. Core Concepts and Techniques: An introduction to fundamental concepts such as algorithms, data, and models that underpin AI and ML systems. Applications Across Industries: A glimpse into the diverse range of applications of AI and ML, from healthcare and finance to transportation and entertainment. Ethical Considerations: A discussion of the ethical implications of AI and ML, including issues of bias, privacy, and accountability. By delving into these themes, this preface aims to equip readers with a solid foundation for exploring the intricacies of AI and ML. It serves as a gateway to a world of endless possibilities and challenges, inviting readers to embark on a journey of discovery and innovation.
Artificial Intelligence And Machine Learning For Smart Community
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Author : T V Ramana
language : en
Publisher: CRC Press
Release Date : 2024-01-26
Artificial Intelligence And Machine Learning For Smart Community written by T V Ramana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-26 with Computers categories.
Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities. Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems Discusses the integration of artificial intelligence with machine learning using mathematical modeling Elaborates concepts like supervised and unsupervised learning, and machine learning algorithms, such as linear regression, logistic regression, random forest, and performance evaluation matrices Introduces modern algorithms such as convolutional neural networks and support vector machines Presents case studies on smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern community, and smart machines Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of artificial intelligence and machine learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner.