Artificial Intelligence By Example
Artificial Intelligence By Example

Author: Denis Rothman

Publisher: Packt Publishing Ltd

Published: 2020-02-28

Total Pages: 579

ISBN-13: 1839212810

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Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Key FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook Description AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions. What you will learnApply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google TranslateUnderstand chained algorithms combining unsupervised learning with decision treesSolve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graphLearn about meta learning models with hybrid neural networksCreate a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data loggingBuilding conversational user interfaces (CUI) for chatbotsWriting genetic algorithms that optimize deep learning neural networksBuild quantum computing circuitsWho this book is for Developers and those interested in AI, who want to understand the fundamentals of Artificial Intelligence and implement them practically. Prior experience with Python programming and statistical knowledge is essential to make the most out of this book.

Heart of the Machine
Heart of the Machine

Author: Richard Yonck

Publisher: Arcade

Published: 2020-02-11

Total Pages: 338

ISBN-13: 195069111X

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For Readers of Ray Kurzweil and Michio Kaku, a New Look at the Cutting Edge of Artificial Intelligence Imagine a robotic stuffed animal that can read and respond to a child’s emotional state, a commercial that can recognize and change based on a customer’s facial expression, or a company that can actually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future; some even think machine consciousness will follow. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. And, as shown in movies like Her and Ex Machina, our society already holds a deep-seated anxiety about what might happen if machines could actually feel and break free from our control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact. The paperback edition has a new foreword by Rana el Kaliouby, PhD, a pioneer in artificial emotional intelligence, as well as the cofounder and CEO of Affectiva, the acclaimed AI startup spun off from the MIT Media Lab.

Emotional Intelligence
Emotional Intelligence

Author: Daniel Goleman

Publisher: Bantam

Published: 2012-01-11

Total Pages: 386

ISBN-13: 0553903209

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#1 BESTSELLER • The groundbreaking book that redefines what it means to be smart, with a new introduction by the author “A thoughtfully written, persuasive account explaining emotional intelligence and why it can be crucial.”—USA Today Everyone knows that high IQ is no guarantee of success, happiness, or virtue, but until Emotional Intelligence, we could only guess why. Daniel Goleman's brilliant report from the frontiers of psychology and neuroscience offers startling new insight into our “two minds”—the rational and the emotional—and how they together shape our destiny. Drawing on groundbreaking brain and behavioral research, Goleman shows the factors at work when people of high IQ flounder and those of modest IQ do surprisingly well. These factors, which include self-awareness, self-discipline, and empathy, add up to a different way of being smart—and they aren’t fixed at birth. Although shaped by childhood experiences, emotional intelligence can be nurtured and strengthened throughout our adulthood—with immediate benefits to our health, our relationships, and our work. The twenty-fifth-anniversary edition of Emotional Intelligence could not come at a better time—we spend so much of our time online, more and more jobs are becoming automated and digitized, and our children are picking up new technology faster than we ever imagined. With a new introduction from the author, the twenty-fifth-anniversary edition prepares readers, now more than ever, to reach their fullest potential and stand out from the pack with the help of EI.

AI: Teach me How to Write a Book - Second Edition
AI: Teach me How to Write a Book - Second Edition

Author: John Nunez

Publisher: John Nunez

Published: 2024-04-12

Total Pages: 631

ISBN-13:

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"AI: Teach Me How to Write a Book - 2nd Edition" is a comprehensive guide designed for writers at all levels to harness the capabilities of Artificial Intelligence in creative writing. This book offers a deep dive into the integration of AI tools with traditional writing practices, aimed at enhancing creativity, improving narrative structure, and optimizing the writing process across various genres. Key Features AI Tools and Techniques: The book introduces readers to a variety of AI tools that can assist in plot generation, character development, and emotional depth. It discusses how these tools can serve as co-creators, helping you, the writer, to generate ideas, overcome creative blocks, and refine their narratives. Practical Application: Each chapter is structured to provide actionable advice on how to apply AI in real-world writing scenarios. This includes prompts, how-to guides, and step-by-step instructions on getting AI to collaborate in everything from drafting dialogues to world-building. Genre-Specific Writing Assistance: The content is tailored to address the specific needs of different genres, including science fiction, fantasy, romance, and historical fiction, ensuring that the guidance is relevant and applicable to a your specific field. Balancing AI and Human Creativity: A significant focus is placed on maintaining your voice in control and ensuring that AI complements rather than overrides the human creative process. This is crucial if you are concern about the authenticity and originality of your work. Ethical Considerations: The book also explores the ethical implications of using AI in writing, discussing topics like authorship, originality, and the responsible use of AI tools. Structure The publication, 600+ long, is divided into several key sections, each focusing on different aspects of AI-assisted writing: Introduction to AI in Writing: This part covers the basics of AI technologies and sets the stage for their application in creative writing. Developing Characters and Plot with AI: Detailed chapters discuss how AI can aid in developing complex characters and intricate plots, with tools for emotional analysis and dynamic storytelling. Enhancing Dialogue and Narrative: The book offers strategies for using AI to craft realistic dialogue and maintain narrative coherence, providing examples of how AI can enhance narrative depth and reader engagement. World-Building: Extensive guidelines on using AI to create vivid, immersive worlds, especially in genres like fantasy and science fiction where detailed world-building is pivotal. Specialized Applications: Separate areas of the book address the use of AI in specific genres, providing tailored advice for crafting genre-specific narratives and character archetypes. Practical Exercises and Prompts: Throughout the book, readers are encouraged to engage with practical exercises and AI-generated prompts to practice the skills discussed. In few words The publication concludes with a look at the future of AI in writing, discussing upcoming trends and how you can stay ahead of the curve. It emphasizes continuous learning and adaptation, encouraging us to evolve with technology while staying true to their creative vision. "AI: Teach Me How to Write a Book - 2nd Edition" is ideal for aspiring and experienced writers like you, interested in integrating technology into their creative process. It is also useful for educators and students in creative writing courses seeking to understand the intersection of technology and literature. This detailed guide combines theoretical insights with practical advice, making it a valuable resource for anyone looking to explore the possibilities of AI in enhancing the art of writing.

Emotional Intelligence for Project Managers
Emotional Intelligence for Project Managers

Author: Anthony Mersino

Publisher: AMACOM

Published: 2013-06-15

Total Pages: 292

ISBN-13: 0814432786

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You’ve spent years gathering the technical intelligence you need for this challenging career--now separate yourself from the pack by increasing your emotional intelligence! As recent research has indicated that emotional intelligence (EI) now accounts for 70 to 80 percent of management success, there is no doubt that today’s successful project manager needs strong interpersonal skills and the ability to recognize emotional cues to lead their teams to success--the technical expertise the position depended on so greatly in the past simply isn’t enough anymore! Emotional Intelligence for Project Managers introduces you to all facets of EI and shows how emotions can be leveraged to meet project goals. Project managers strong in technical skills but needing help in the EI department will learn how to: Set the tone and direction for the project Communicate effectively Motivate, inspire, and engage their team Encourage flexibility and collaboration Deal productively with stress, criticism, and change Establish the kind of high morale that attracts top performers Now in its second edition, Emotional Intelligence for Project Managers includes several expanded sections on self-awareness and self-management, as well as a new chapter on using EI to lead Agile Teams and a close look at Servant Leadership.

Emotional Intelligence 2.0
Emotional Intelligence 2.0

Author: Travis Bradberry

Publisher: TalentSmart

Published: 2009

Total Pages: 282

ISBN-13: 0974320625

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"Includes a new & enhanced online edition of the world's most popular emotional intelligence test."

Artificial Intelligence with Python
Artificial Intelligence with Python

Author: Alberto Artasanchez

Publisher: Packt Publishing Ltd

Published: 2020-01-31

Total Pages: 619

ISBN-13: 1839216077

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New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series dataWho this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.

Mind, second edition
Mind, second edition

Author: Paul Thagard

Publisher: MIT Press

Published: 2005-02-04

Total Pages: 284

ISBN-13: 9780262701099

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Cognitive science approaches the study of mind and intelligence from an interdisciplinary perspective, working at the intersection of philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. With Mind, Paul Thagard offers an introduction to this interdisciplinary field for readers who come to the subject with very different backgrounds. It is suitable for classroom use by students with interests ranging from computer science and engineering to psychology and philosophy. Thagard's systematic descriptions and evaluations of the main theories of mental representation advanced by cognitive scientists allow students to see that there are many complementary approaches to the investigation of mind. The fundamental theoretical perspectives he describes include logic, rules, concepts, analogies, images, and connections (artificial neural networks). The discussion of these theories provides an integrated view of the different achievements of the various fields of cognitive science. This second edition includes substantial revision and new material. Part I, which presents the different theoretical approaches, has been updated in light of recent work the field. Part II, which treats extensions to cognitive science, has been thoroughly revised, with new chapters added on brains, emotions, and consciousness. Other additions include a list of relevant Web sites at the end of each chapter and a glossary at the end of the book. As in the first edition, each chapter concludes with a summary and suggestions for further reading.

Emotional Intelligence
Emotional Intelligence

Author: Daniel Goleman

Publisher: Bloomsbury Publishing

Published: 2020-12-08

Total Pages: 351

ISBN-13: 1526633620

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The number 1 worldwide bestseller about why your emotional intelligence is more important than your IQ

Emotionally Intelligent AI SECOND EDITION
Emotionally Intelligent AI SECOND EDITION

Author: Hesham Mohamed Elsherif

Publisher: Eldonusa

Published: 2023-12-17

Total Pages: 0

ISBN-13:

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Welcome to "Emotionally Intelligent AI: A Comprehensive Guide with Examples", a meticulously curated guide designed to shepherd you through the intricate maze of emotional intelligence in artificial intelligence (AI). This book aims to be a seminal resource for developers, students, researchers, and anyone intrigued by the convergence of emotions and machines, providing a profound exploration into the designing, development, implementation, and applications of emotionally intelligent AI. The Essence of Emotionally Intelligent AI: Emotionally Intelligent AI represents the marriage of technological prowess with human emotional nuance, striving to create systems capable of understanding and responding to human emotions effectively. This evolving branch of AI bears immense relevance in today's world, promising innovations that can transform our interactions with technology and reshape various industries like healthcare, education, and customer service. The merger of emotional intelligence and AI paves the way for more humane technology, enhancing user experiences and facilitating more empathetic, responsive interactions between humans and machines. It opens doors to technology that can understand human states, adapting and responding to emotional nuances and needs, thereby fostering a symbiotic relationship between human intelligence and artificial entities. Objectives and Scope: This book's objective is to offer a comprehensive overview of emotionally intelligent AI, traversing its foundational principles, building blocks, design and development methodologies, and applications. It seeks to illuminate the subject for a diverse audience, providing insights and knowledge that are both broad in scope and deep in detail. The book is crafted to cater to a diverse range of readers, from novices stepping into the world of AI to seasoned professionals seeking advanced knowledge. The initial chapters lay down foundational knowledge about emotions, AI, and emotional intelligence, serving as a primer for those new to these concepts. Subsequent sections delve into more advanced topics, exploring the design, development, and implementation of emotionally intelligent AI systems, enriched with real-world examples and case studies. Structure and Approach: This book is strategically segmented into various parts to facilitate a coherent and progressive learning journey. The first part unfolds the foundational elements of emotions, AI, and emotional intelligence, setting the stage for deeper exploration. The building blocks of emotionally intelligent AI, such as Natural Language Processing (NLP), Sentiment Analysis, and Facial and Voice Recognition, are meticulously explained in the following sections, accompanied by pertinent examples and case studies. Practical insights into designing and developing emotionally intelligent AI systems are provided, with a keen focus on ethical considerations and responsible AI development. The book further explores diverse applications of emotionally intelligent AI across various domains, showcasing its transformative potential and impact. Future perspectives on this technology are discussed, along with the ethical challenges and considerations that accompany its advancement. To facilitate hands-on learning, the book is supplemented with practical examples, tutorials, and advanced techniques, providing readers with the opportunity to apply their knowledge and hone their skills. The book also emphasizes the ethical dimensions of developing emotionally intelligent AI, discussing the potential challenges and proposing thoughtful solutions. DR. Hesham Mohamed Elsherif