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A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.
Book Synopsis A Citizen's Guide to Artificial Intelligence by : John Zerilli
Download or read book A Citizen's Guide to Artificial Intelligence written by John Zerilli and published by MIT Press. This book was released on 2021-02-23 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.
Get the Summary of ModernMind Publications's Generative AI for Beginners Made Easy in 20 minutes. Please note: This is a summary & not the original book. “Generative AI for Beginners Made Easy" by ModernMind Publications explores the transformative impact of artificial intelligence, particularly generative AI, on daily life. The book begins by demystifying AI, machine learning, and deep learning, explaining their roles in various applications like streaming services, email spam filters, and voice recognition systems. It highlights how AI enhances everyday experiences, from personalized recommendations to smart home devices. The text also delves into Natural Language Processing (NLP), showcasing its use in chatbots, writing tools like Grammarly, and voice-activated devices...
Book Synopsis Summary of ModernMind Publications's Generative AI for Beginners Made Easy by : Milkyway Media
Download or read book Summary of ModernMind Publications's Generative AI for Beginners Made Easy written by Milkyway Media and published by Milkyway Media. This book was released on 2024-06-27 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get the Summary of ModernMind Publications's Generative AI for Beginners Made Easy in 20 minutes. Please note: This is a summary & not the original book. “Generative AI for Beginners Made Easy" by ModernMind Publications explores the transformative impact of artificial intelligence, particularly generative AI, on daily life. The book begins by demystifying AI, machine learning, and deep learning, explaining their roles in various applications like streaming services, email spam filters, and voice recognition systems. It highlights how AI enhances everyday experiences, from personalized recommendations to smart home devices. The text also delves into Natural Language Processing (NLP), showcasing its use in chatbots, writing tools like Grammarly, and voice-activated devices...
Book Synopsis ARTIFICIAL INTELLIGENCE & GENERATIVE AI FOR BEGINNERS by : DAVID M. PATEL.
Download or read book ARTIFICIAL INTELLIGENCE & GENERATIVE AI FOR BEGINNERS written by DAVID M. PATEL. and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
GET YOU BONUS: MASTERING GBT'S: A guide within a guide where we delve into practical tips and advanced techniques to ensure you get the most out of ChatGPT. Are you intrigued by the power of ai? Do you wonder how machines learn to generate content that feels uniquely human? Are you looking to deepen your understanding in the evolving field of generative ai? "AI FOR BEGINNERS is your essential resource into the world of artificial intelligence. This book demystifies the complex concepts of Generative AI, making them accessible to anyone with curiosity and a desire to explore the future of creativity and innovation. Within these pages, you'll discover: An In-Depth Exploration of AI and Generative AI: Gain a comprehensive understanding of the fundamentals and the core technologies and theories that enable the magic of Generative AI. Practical Applications: Discover the transformative impact of Generative AI across art, music, video production, data analysis, coding and beyond. Hands-On Guidance: This book not only teaches you how AI works but also how to apply it effectively, offering practical advice and step by step guidance for leveraging Generative AI in your life and projects. Ethical Insights: Learn about the responsible use of AI, addressing the moral implications of AI-generated content and its influence on our digital landscape. Whether you're an aspiring developer, an artist intrigued by the possibilities of AI, or simply someone fascinated by the capability of technology to emulate and augment human creativity, this book offers a comprehensive and insightful exploration of Generative AI. This book is not just a guide; it's a gateway to the future. Are you ready to transform curiosity into comprehensive knowledge and ideas into tangible outcomes? Grab you copy and begin your journey!
Book Synopsis AI for Beginners by : Alan Miller
Download or read book AI for Beginners written by Alan Miller and published by Independently Published. This book was released on 2024-03-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: GET YOU BONUS: MASTERING GBT'S: A guide within a guide where we delve into practical tips and advanced techniques to ensure you get the most out of ChatGPT. Are you intrigued by the power of ai? Do you wonder how machines learn to generate content that feels uniquely human? Are you looking to deepen your understanding in the evolving field of generative ai? "AI FOR BEGINNERS is your essential resource into the world of artificial intelligence. This book demystifies the complex concepts of Generative AI, making them accessible to anyone with curiosity and a desire to explore the future of creativity and innovation. Within these pages, you'll discover: An In-Depth Exploration of AI and Generative AI: Gain a comprehensive understanding of the fundamentals and the core technologies and theories that enable the magic of Generative AI. Practical Applications: Discover the transformative impact of Generative AI across art, music, video production, data analysis, coding and beyond. Hands-On Guidance: This book not only teaches you how AI works but also how to apply it effectively, offering practical advice and step by step guidance for leveraging Generative AI in your life and projects. Ethical Insights: Learn about the responsible use of AI, addressing the moral implications of AI-generated content and its influence on our digital landscape. Whether you're an aspiring developer, an artist intrigued by the possibilities of AI, or simply someone fascinated by the capability of technology to emulate and augment human creativity, this book offers a comprehensive and insightful exploration of Generative AI. This book is not just a guide; it's a gateway to the future. Are you ready to transform curiosity into comprehensive knowledge and ideas into tangible outcomes? Grab you copy and begin your journey!
This comprehensive guide dives into the fascinating world of Artificial Intelligence (AI) and its cutting-edge subfield, Generative AI. Designed for beginners and enthusiasts alike, it equips you with the knowledge and skills to navigate the complexities of machine learning and unlock the power of AI for advanced applications. Building a Strong Foundation The journey begins with mastering the fundamentals. You'll explore the different approaches to AI, delve into the history of this revolutionary field, and gain a solid understanding of various subfields like Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. Delving into Machine Learning Machine learning, the core of AI's learning ability, takes center stage. You'll grasp the difference between supervised and unsupervised learning paradigms, discover popular algorithms like decision trees and neural networks, and learn the importance of data preparation for optimal model performance. Evaluation metrics become your tools to measure how effectively your models are learning. Unveiling the Power of Deep Learning Get ready to explore the intricate world of Deep Learning, a powerful subset of machine learning inspired by the human brain. Demystify neural networks, the building blocks of deep learning, and dive into specialized architectures like Convolutional Neural Networks (CNNs) for image recognition and Recurrent Neural Networks (RNNs) for handling sequential data. Deep learning frameworks become your allies, simplifying the process of building and deploying complex deep learning models. The Art of Machine Creation: Generative AI The book then shifts its focus to the transformative realm of Generative AI. Here, machines not only learn but create entirely new data. Explore different types of generative models, from autoregressive models to variational autoencoders, and witness their applications in text generation, image synthesis, and even music creation. A Deep Dive into Generative Adversarial Networks (GANs) Among generative models, Generative Adversarial Networks (GANs) have captured the imagination of researchers and the public alike. This chapter delves into the intriguing concept of GANs, where a generator model continuously strives to create realistic data while a discriminator model acts as a critic, ensuring the generated data is indistinguishable from real data. You'll explore the training process, the challenges of taming GANs, and best practices for achieving optimal results. Advanced Applications Across Domains The book then showcases the transformative potential of Generative AI across various domains. Witness the power of text generation with RNNs, explore the ethical considerations surrounding deepfakes, and discover how chatbots are revolutionizing communication. In the visual realm, delve into Deep Dream and Neural Style Transfer algorithms, and witness the creation of realistic images and videos with cutting-edge generative models. Mastering AI and Generative AI empowers you to not only understand these revolutionary technologies but also leverage them for advanced applications. As you embark on this journey, be prepared to unlock the boundless potential of machine creation and shape the future of AI.
Book Synopsis Mastering AI and Generative AI: From Learning Fundamentals to Advanced Applications by : Anand Vemula
Download or read book Mastering AI and Generative AI: From Learning Fundamentals to Advanced Applications written by Anand Vemula and published by Anand Vemula. This book was released on with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive guide dives into the fascinating world of Artificial Intelligence (AI) and its cutting-edge subfield, Generative AI. Designed for beginners and enthusiasts alike, it equips you with the knowledge and skills to navigate the complexities of machine learning and unlock the power of AI for advanced applications. Building a Strong Foundation The journey begins with mastering the fundamentals. You'll explore the different approaches to AI, delve into the history of this revolutionary field, and gain a solid understanding of various subfields like Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. Delving into Machine Learning Machine learning, the core of AI's learning ability, takes center stage. You'll grasp the difference between supervised and unsupervised learning paradigms, discover popular algorithms like decision trees and neural networks, and learn the importance of data preparation for optimal model performance. Evaluation metrics become your tools to measure how effectively your models are learning. Unveiling the Power of Deep Learning Get ready to explore the intricate world of Deep Learning, a powerful subset of machine learning inspired by the human brain. Demystify neural networks, the building blocks of deep learning, and dive into specialized architectures like Convolutional Neural Networks (CNNs) for image recognition and Recurrent Neural Networks (RNNs) for handling sequential data. Deep learning frameworks become your allies, simplifying the process of building and deploying complex deep learning models. The Art of Machine Creation: Generative AI The book then shifts its focus to the transformative realm of Generative AI. Here, machines not only learn but create entirely new data. Explore different types of generative models, from autoregressive models to variational autoencoders, and witness their applications in text generation, image synthesis, and even music creation. A Deep Dive into Generative Adversarial Networks (GANs) Among generative models, Generative Adversarial Networks (GANs) have captured the imagination of researchers and the public alike. This chapter delves into the intriguing concept of GANs, where a generator model continuously strives to create realistic data while a discriminator model acts as a critic, ensuring the generated data is indistinguishable from real data. You'll explore the training process, the challenges of taming GANs, and best practices for achieving optimal results. Advanced Applications Across Domains The book then showcases the transformative potential of Generative AI across various domains. Witness the power of text generation with RNNs, explore the ethical considerations surrounding deepfakes, and discover how chatbots are revolutionizing communication. In the visual realm, delve into Deep Dream and Neural Style Transfer algorithms, and witness the creation of realistic images and videos with cutting-edge generative models. Mastering AI and Generative AI empowers you to not only understand these revolutionary technologies but also leverage them for advanced applications. As you embark on this journey, be prepared to unlock the boundless potential of machine creation and shape the future of AI.
"Generative AI: The Beginner's Guide" is a comprehensive introduction to the world of generative artificial intelligence. Written for readers who are new to the subject, this book explains the basics of how generative AI works, what it can do, and how it is used in various industries. Starting with the fundamentals of machine learning, the book gradually introduces readers to the key concepts and techniques used in generative AI. Readers will learn about the different types of generative models, such as GANs and VAEs, and how they can be trained to generate images, music, text, and more. The book also covers important topics such as data preprocessing, model evaluation, and ethical considerations in AI. Throughout the book, readers will find clear explanations, helpful examples, and practical tips for implementing generative AI projects. Whether you are a student, a programmer, or a hobbyist, "Generative AI for Beginners" provides an accessible and engaging introduction to this exciting field. With this book as your guide, you will be able to create your own generative AI models and explore the possibilities of this rapidly evolving technology.
Book Synopsis Generative AI by : Dr Bienvenue Maula
Download or read book Generative AI written by Dr Bienvenue Maula and published by Independently Published. This book was released on 2023-02-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Generative AI: The Beginner's Guide" is a comprehensive introduction to the world of generative artificial intelligence. Written for readers who are new to the subject, this book explains the basics of how generative AI works, what it can do, and how it is used in various industries. Starting with the fundamentals of machine learning, the book gradually introduces readers to the key concepts and techniques used in generative AI. Readers will learn about the different types of generative models, such as GANs and VAEs, and how they can be trained to generate images, music, text, and more. The book also covers important topics such as data preprocessing, model evaluation, and ethical considerations in AI. Throughout the book, readers will find clear explanations, helpful examples, and practical tips for implementing generative AI projects. Whether you are a student, a programmer, or a hobbyist, "Generative AI for Beginners" provides an accessible and engaging introduction to this exciting field. With this book as your guide, you will be able to create your own generative AI models and explore the possibilities of this rapidly evolving technology.
Book Synopsis Applications of Generative AI by : Zhihan Lyu
Download or read book Applications of Generative AI written by Zhihan Lyu and published by Springer Nature. This book was released on with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with ease Key FeaturesEnter the world of AI with the help of solid concepts and real-world use casesExplore AI components to build real-world automated intelligenceBecome well versed with machine learning and deep learning conceptsBook Description Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial Intelligence is one of the most exciting technologies and is becoming increasingly significant in the modern world. Hands-On Artificial Intelligence for Beginners will teach you what Artificial Intelligence is and how to design and build intelligent applications. This book will teach you to harness packages such as TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks (ANNs) have enabled more intelligent AI. You'll explore feedforward, recurrent, convolutional, and generative neural networks (FFNNs, RNNs, CNNs, and GNNs), as well as reinforcement learning methods. In the concluding chapters, you'll learn how to implement these methods for a variety of tasks, such as generating text for chatbots, and playing board and video games. By the end of this book, you will be able to understand exactly what you need to consider when optimizing ANNs and how to deploy and maintain AI applications. What you will learnUse TensorFlow packages to create AI systemsBuild feedforward, convolutional, and recurrent neural networksImplement generative models for text generationBuild reinforcement learning algorithms to play gamesAssemble RNNs, CNNs, and decoders to create an intelligent assistantUtilize RNNs to predict stock market behaviorCreate and scale training pipelines and deployment architectures for AI systemsWho this book is for This book is designed for beginners in AI, aspiring AI developers, as well as machine learning enthusiasts with an interest in leveraging various algorithms to build powerful AI applications.
Book Synopsis Hands-On Artificial Intelligence for Beginners by : Patrick D. Smith
Download or read book Hands-On Artificial Intelligence for Beginners written by Patrick D. Smith and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with ease Key FeaturesEnter the world of AI with the help of solid concepts and real-world use casesExplore AI components to build real-world automated intelligenceBecome well versed with machine learning and deep learning conceptsBook Description Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial Intelligence is one of the most exciting technologies and is becoming increasingly significant in the modern world. Hands-On Artificial Intelligence for Beginners will teach you what Artificial Intelligence is and how to design and build intelligent applications. This book will teach you to harness packages such as TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks (ANNs) have enabled more intelligent AI. You'll explore feedforward, recurrent, convolutional, and generative neural networks (FFNNs, RNNs, CNNs, and GNNs), as well as reinforcement learning methods. In the concluding chapters, you'll learn how to implement these methods for a variety of tasks, such as generating text for chatbots, and playing board and video games. By the end of this book, you will be able to understand exactly what you need to consider when optimizing ANNs and how to deploy and maintain AI applications. What you will learnUse TensorFlow packages to create AI systemsBuild feedforward, convolutional, and recurrent neural networksImplement generative models for text generationBuild reinforcement learning algorithms to play gamesAssemble RNNs, CNNs, and decoders to create an intelligent assistantUtilize RNNs to predict stock market behaviorCreate and scale training pipelines and deployment architectures for AI systemsWho this book is for This book is designed for beginners in AI, aspiring AI developers, as well as machine learning enthusiasts with an interest in leveraging various algorithms to build powerful AI applications.
Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN
Book Synopsis Generative Deep Learning by : David Foster
Download or read book Generative Deep Learning written by David Foster and published by "O'Reilly Media, Inc.". This book was released on 2019-06-28 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN
Become part of the revolution and embark on the future that is AI! Are you looking to learn and understand artificial intelligence in an uncomplicated, straightforward way? Are you looking to learn and understand artificial intelligence in an uncomplicated, straightforward way? From the GPS that diligently helps you navigate the roads to the chatbots that welcome you to websites, artificial intelligence is part of our world now and will dominate the world in the near future. As such, there isn’t a better time to learn about AI and machine learning than now. But the truth is, AI can be a complex field, especially if you are not well-versed in this subject -don't worry, though, this guide will break it all down for you in an easy-to-digest way, yet comprehensively enough, whether you want to apply AI practically or learn for general knowledge. This book is an introductory guide to discovering step-by-step and learning what are the AI, and what are Generative AI. From their history of them to the potential use to improve your everyday in your work and your personal life. Discover this critical part of the human future. -- Publisher's description.
Book Synopsis Artificial Intelligence and Generative AI for Beginners by : Michael Gordon Cohen
Download or read book Artificial Intelligence and Generative AI for Beginners written by Michael Gordon Cohen and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become part of the revolution and embark on the future that is AI! Are you looking to learn and understand artificial intelligence in an uncomplicated, straightforward way? Are you looking to learn and understand artificial intelligence in an uncomplicated, straightforward way? From the GPS that diligently helps you navigate the roads to the chatbots that welcome you to websites, artificial intelligence is part of our world now and will dominate the world in the near future. As such, there isn’t a better time to learn about AI and machine learning than now. But the truth is, AI can be a complex field, especially if you are not well-versed in this subject -don't worry, though, this guide will break it all down for you in an easy-to-digest way, yet comprehensively enough, whether you want to apply AI practically or learn for general knowledge. This book is an introductory guide to discovering step-by-step and learning what are the AI, and what are Generative AI. From their history of them to the potential use to improve your everyday in your work and your personal life. Discover this critical part of the human future. -- Publisher's description.
