Artificial Intelligence, Machine Learning and User Interface Design

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Author :
Publisher : Bentham Science Publishers
ISBN 13 : 9815179616
Total Pages : 303 pages
Book Rating : 4.8/5 (151 download)

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Book Synopsis Artificial Intelligence, Machine Learning and User Interface Design by : Abhijit Banubakode

Download or read book Artificial Intelligence, Machine Learning and User Interface Design written by Abhijit Banubakode and published by Bentham Science Publishers. This book was released on 2024-05-10 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence, Machine Learning and User Interface Design is a forward-thinking compilation of reviews that explores the intersection of Artificial Intelligence (AI), Machine Learning (ML) and User Interface (UI) design. The book showcases recent advancements, emerging trends and the transformative impact of these technologies on digital experiences and technologies. The editors have compiled 14 multidisciplinary topics contributed by over 40 experts, covering foundational concepts of AI and ML, and progressing through intricate discussions on recent algorithms and models. Case studies and practical applications illuminate theoretical concepts, providing readers with actionable insights. From neural network architectures to intuitive interface prototypes, the book covers the entire spectrum, ensuring a holistic understanding of the interplay between these domains. Use cases of AI and ML highlighted in the book include categorization and management of waste, taste perception of tea, bird species identification, content-based image retrieval, natural language processing, code clone detection, knowledge representation, tourism recommendation systems and solid waste management. Advances in Artificial Intelligence, Machine Learning and User Interface Design aims to inform a diverse readership, including computer science students, AI and ML software engineers, UI/UX designers, researchers, and tech enthusiasts.

Strategic Communication and AI

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Author :
Publisher : Routledge
ISBN 13 : 1000482103
Total Pages : 57 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Strategic Communication and AI by : Simon Moore

Download or read book Strategic Communication and AI written by Simon Moore and published by Routledge. This book was released on 2021-09-09 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise text provides an accessible introduction to artificial intelligence and intelligent user interfaces (IUIs) and how they are at the heart of a communication revolution for strategic communications and public relations. IUIs are where users and technology meet – via computers, phones, robots, public displays, etc. They use AI and machine learning methods to control how those systems interact, exchange data, learn from, and develop relations with users. The authors explore research and developments that are already changing human/machine engagement in a wide range of areas from consumer goods, healthcare, and entertainment to community relations, crisis management, and activism. They also explore the implications for public relations of how technologies developing hyper-personalised persuasion could be used to make choices for us, navigating the controversial space between influence, nudging, and controlling. This readable overview of the applications and implications of AI and IUIs will be welcomed by researchers, students, and practitioners in all areas of strategic communication, public relations, and communications studies.

AI and UX

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Publisher : Apress
ISBN 13 : 9781484257746
Total Pages : 143 pages
Book Rating : 4.2/5 (577 download)

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Book Synopsis AI and UX by : Gavin Lew

Download or read book AI and UX written by Gavin Lew and published by Apress. This book was released on 2020-10-17 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: As venture capital and industrial resources are increasingly poured into rapid advances in artificial intelligence, the actual usage and success of AI depends on a satisfactory experience for the user. UX will play a significant role in the adoption of AI technologies across markets, and AI and UX explores just what these demands will entail. Great effort has been put forth to continuously make AI “smarter.” But, will smarter always equal more successful AI? It is not just about getting a product to market, but about getting the product into a user’s hands in a form that will be embraced. This demands examining the product from the perspective of the user. Authors Gavin Lew and Robert Schumacher have written AI and UX to examine just how product managers and designers can best strike this balance. From exploring the history of the parallel journeys of AI and UX, to investigating past product examples and failures, to practical expert knowledge on how to best execute a positive user experience, AI and UX examines all angles of how AI can best be developed within a UX framework. The new world of AI necessitates an equally new UX lens through which to see all potential products. While massive inroads have created strides in AI technology, it must be accessible and easy to use for the consumer. Innovators in the field need to shift thinking from “it works” to “it works well,” which makes all the difference in increasing adoption. Let your users enhance your data, and let the UX of your product do the selling for you. AI and UX is your roadmap for the future. What You'll Learn Understand how the usage and success of AI depends on a great user experience Discover how technology can advance beyond “it works” to “it works well,” which subsequently increases its adoption Determine what ways can we let the users enhance the data to make AI better attuned to their needs Realize how you can make humans smarter in their interactions with AI Who This Book Is For Those interested in AI and future implications; these can be futurists, technophiles, or product designers and product managers working on AI products

AI for Designers

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Author :
Publisher : Springer Nature
ISBN 13 : 9819968976
Total Pages : 131 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis AI for Designers by : Md Haseen Akhtar

Download or read book AI for Designers written by Md Haseen Akhtar and published by Springer Nature. This book was released on 2024-01-21 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents select research writings from researchers and professionals around the globe on the application, potential, and limitations of AI in different domains. The topics covered include AI in product design, AI in architecture design, AI in textile design, AI in interaction design, and AI for society in general. The book also discusses various cross-applications of AI in other industrial sectors like urban planning and design, AI for inclusive future, etc. The book is a valuable reference for designers in multidisciplinary areas. This book is of interest for anyone who is a beginner, researcher, and professional interested in artificial intelligence and allied fields.

Designing Human-Centric AI Experiences

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Publisher : Apress
ISBN 13 : 9781484280874
Total Pages : 0 pages
Book Rating : 4.2/5 (88 download)

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Book Synopsis Designing Human-Centric AI Experiences by : Akshay Kore

Download or read book Designing Human-Centric AI Experiences written by Akshay Kore and published by Apress. This book was released on 2022-08-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: User experience (UX) design practices have seen a fundamental shift as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core. This book will probe into UX design’s role in making technologies inclusive and enabling user collaboration with AI. AI/ML-based systems have changed the way of traditional UX design. Instead of programming a method to do a specific action, creators of these systems provide data and nurture them to curate outcomes based on inputs. These systems are dynamic and while AI systems change over time, their user experience, in many cases, does not adapt to this dynamic nature. Applied UX Design for Artificial Intelligence will explore this problem, addressing the challenges and opportunities in UX design for AI/ML systems, look at best practices for designers, managers, and product creators and showcase how individuals from a non-technical background can collaborate effectively with AI and Machine learning teams. You Will Learn: Best practices in UX design when building human-centric AI products or features Ability to spot opportunities for applying AI in their organizations Advantages and limitations of AI when building software products Ability to collaborate and communicate effectively with AI/ML tech teams • UX design for different modalities (voice, speech, text, etc.) Designing ethical AI system

Application of Artificial Intelligence in User Interfaces Design for Cyber Security Threat Modeling

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)

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Book Synopsis Application of Artificial Intelligence in User Interfaces Design for Cyber Security Threat Modeling by : Jide Ebenezer Taiwo Akinsola

Download or read book Application of Artificial Intelligence in User Interfaces Design for Cyber Security Threat Modeling written by Jide Ebenezer Taiwo Akinsola and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, Cyber Security threat modeling has been discovered to have the capacity of combatting and mitigating against online threats. In order to minimize the associated risk, these threats need to be modelled with appropriate Intelligent User Interface (IUI) design and consequently the development and evaluation of threat metrics. Artificial Intelligence (AI) has revolutionized every facet of our daily lives and building a responsive Cyber Security Threat Model requires an IUI. The current threat models lack IUI, hence they cannot deliver convenience and efficiency. However, as the User Interface (UI) functionalities and User Experience (UX) continue to increase and deliver more astonishing possibilities, the present threat models lack the predictability capacity thus Machine Learning paradigms must be incorporated. Meanwhile, this deficiency can only be handled through AI-enabled UI that utilizes baseline principles in the design of interfaces for effective Human-Machine Interaction (HMI) with lasting UX. IUI helps developers or designers enhance flexibility, usability, and the relevance of the interaction to improving communication between computer and human. Baseline principles must be applied for developing threat models that will ensure fascinating UI-UX. Application of AI in UI design for Cyber Security Threat Modeling brings about reduction in critical design time and ensures the development of better threat modeling applications and solutions.

Big Data, Big Design

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Author :
Publisher : Chronicle Books
ISBN 13 : 1648960782
Total Pages : 177 pages
Book Rating : 4.6/5 (489 download)

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Book Synopsis Big Data, Big Design by : Helen Armstrong

Download or read book Big Data, Big Design written by Helen Armstrong and published by Chronicle Books. This book was released on 2021-11-04 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design. Enter the world of Machine Learning (ML) and Artificial Intelligence (AI) through a design lens in this thoughtful handbook of practical skills, technical knowledge, interviews, essays, and theory, written specifically for designers. Gain an understanding of the design opportunities and design biases that arise when using predictive algorithms. Learn how to place design principles and cultural context at the heart of AI and ML through real-life case studies and examples. This portable, accessible guide will give beginners and more advanced AI and ML users the confidence to make reasoned, thoughtful decisions when implementing ML design solutions.

Artificial Intelligence for Human Computer Interaction: A Modern Approach

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Publisher : Springer Nature
ISBN 13 : 3030826813
Total Pages : 602 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence for Human Computer Interaction: A Modern Approach by : Yang Li

Download or read book Artificial Intelligence for Human Computer Interaction: A Modern Approach written by Yang Li and published by Springer Nature. This book was released on 2021-11-04 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book explores the many interesting questions that lie at the intersection between AI and HCI. It covers a comprehensive set of perspectives, methods and projects that present the challenges and opportunities that modern AI methods bring to HCI researchers and practitioners. The chapters take a clear departure from traditional HCI methods and leverage data-driven and deep learning methods to tackle HCI problems that were previously challenging or impossible to address. It starts with addressing classic HCI topics, including human behaviour modeling and input, and then dedicates a section to data and tools, two technical pillars of modern AI methods. These chapters exemplify how state-of-the-art deep learning methods infuse new directions and allow researchers to tackle long standing and newly emerging HCI problems alike. Artificial Intelligence for Human Computer Interaction: A Modern Approach concludes with a section on Specific Domains which covers a set of emerging HCI areas where modern AI methods start to show real impact, such as personalized medical, design, and UI automation.

Design Justice

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Publisher : MIT Press
ISBN 13 : 0262043459
Total Pages : 358 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Design Justice by : Sasha Costanza-Chock

Download or read book Design Justice written by Sasha Costanza-Chock and published by MIT Press. This book was released on 2020-03-03 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exploration of how design might be led by marginalized communities, dismantle structural inequality, and advance collective liberation and ecological survival. What is the relationship between design, power, and social justice? “Design justice” is an approach to design that is led by marginalized communities and that aims expilcitly to challenge, rather than reproduce, structural inequalities. It has emerged from a growing community of designers in various fields who work closely with social movements and community-based organizations around the world. This book explores the theory and practice of design justice, demonstrates how universalist design principles and practices erase certain groups of people—specifically, those who are intersectionally disadvantaged or multiply burdened under the matrix of domination (white supremacist heteropatriarchy, ableism, capitalism, and settler colonialism)—and invites readers to “build a better world, a world where many worlds fit; linked worlds of collective liberation and ecological sustainability.” Along the way, the book documents a multitude of real-world community-led design practices, each grounded in a particular social movement. Design Justice goes beyond recent calls for design for good, user-centered design, and employment diversity in the technology and design professions; it connects design to larger struggles for collective liberation and ecological survival.

Designing User Interfaces With a Data Science Approach

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Author :
Publisher : IGI Global
ISBN 13 : 1799891232
Total Pages : 325 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Designing User Interfaces With a Data Science Approach by : Banubakode, Abhijit Narayanrao

Download or read book Designing User Interfaces With a Data Science Approach written by Banubakode, Abhijit Narayanrao and published by IGI Global. This book was released on 2022-03-18 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science has been playing a vital role in almost all major fields. Many researchers are interested in the development of IT applications, which are user-driven with a focus on issues. This can be addressed using data science. User-driven research and data science have gained much attention from many private, public, and government organizations and research institutions. Designing User Interfaces With a Data Science Approach promotes the inclusion of more diversified users for user-centered designs of applications across domains and analyzes user data with a data science approach for effective and user-friendly user interface designs. It introduces the foundations of advanced topics of human-computer interaction, particularly with user-centered designs and techniques. Covering topics such as artificial neural networks, natural dialog systems, and machine learning, this book is an essential resource for faculty, research scholars, industry professionals, students of higher education, mathematicians, data scientists, interaction designers, visual designers, software engineers, user experience researchers, accessibility engineers, cognitive system engineers, academicians, and libraries.

Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital Era

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Author :
Publisher : Elsevier
ISBN 13 : 0323999492
Total Pages : 342 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital Era by : Surbhi Bhatia Khan

Download or read book Innovations in Artificial Intelligence and Human-Computer Interaction in the Digital Era written by Surbhi Bhatia Khan and published by Elsevier. This book was released on 2023-07-22 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovations in Artificial Intelligence and Human Computer Interaction in the Digital Era investigates the interaction and growing interdependency of the HCI and AI fields, which are not usually addressed in traditional approaches. Chapters explore how well AI can interact with users based on linguistics and user-centered design processes, especially with the advances of AI and the hype around many applications. Other sections investigate how HCI and AI can mutually benefit from a closer association and the how the AI community can improve their usage of HCI methods like “Wizard of Oz prototyping and “Thinking aloud protocols. Moreover, HCI can further augment human capabilities using new technologies. This book demonstrates how an interdisciplinary team of HCI and AI researchers can develop extraordinary applications, such as improved education systems, smart homes, smart healthcare and map Human Computer Interaction (HCI) for a multidisciplinary field that focuses on the design of computer technology and the interaction between users and computers in different domains. Presents fundamental concepts of both HCI and AI, addressing a multidisciplinary audience of researchers and engineers working on User Centered Design (UCD), User Interface (UI) design, and User Experience (UX) design Explores a broad range of case studies from across healthcare, industry, and education Investigates multiple strategies for designing and developing intelligent user interfaces to solve real-world problems Outlines research challenges and future directions for the intersection of AI and HCI

Human-Centered AI

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Publisher : Oxford University Press
ISBN 13 : 0192660004
Total Pages : 390 pages
Book Rating : 4.1/5 (926 download)

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Book Synopsis Human-Centered AI by : Ben Shneiderman

Download or read book Human-Centered AI written by Ben Shneiderman and published by Oxford University Press. This book was released on 2022-01-13 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.

AI-Enhanced UX: Designing Intelligent, User-Centric Interfaces with Generative AI

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Author :
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 146 pages
Book Rating : 4./5 ( download)

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Book Synopsis AI-Enhanced UX: Designing Intelligent, User-Centric Interfaces with Generative AI by : Anand Vemula

Download or read book AI-Enhanced UX: Designing Intelligent, User-Centric Interfaces with Generative AI written by Anand Vemula and published by Anand Vemula. This book was released on with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves into how AI-driven technologies are reshaping the way we approach UX, offering designers innovative tools and methodologies to enhance user interactions and create more personalized, efficient, and engaging interfaces. The book begins by introducing the foundational concepts of generative AI and its relevance to UX design. It covers the evolution of AI technologies and their impact on user experience, emphasizing how generative AI can automate and optimize design processes. Readers will learn about key principles of user-centered design and how AI can be integrated to understand user needs, deliver personalized experiences, and foster inclusive design. In the following chapters, the book explores practical applications of generative AI in interface design, including automating UI creation, integrating AI for responsive designs, and enhancing user interaction through AI-driven chatbots and virtual assistants. Detailed case studies highlight successful implementations of AI in various industries, offering insights into real-world applications and the tangible benefits of AI-enhanced UX. The book also provides hands-on tutorials, code examples, and exercises, guiding readers through the process of leveraging generative AI tools and platforms for their own UX projects. It emphasizes the importance of balancing creativity with AI automation and addresses ethical considerations, such as privacy and inclusivity.

Plan, Activity, and Intent Recognition

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Publisher : Newnes
ISBN 13 : 012401710X
Total Pages : 423 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Plan, Activity, and Intent Recognition by : Gita Sukthankar

Download or read book Plan, Activity, and Intent Recognition written by Gita Sukthankar and published by Newnes. This book was released on 2014-03-03 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. Plan, Activity, and Intent Recognition explains the crucial role of these techniques in a wide variety of applications including: personal agent assistants computer and network security opponent modeling in games and simulation systems coordination in robots and software agents web e-commerce and collaborative filtering dialog modeling video surveillance smart homes In this book, follow the history of this research area and witness exciting new developments in the field made possible by improved sensors, increased computational power, and new application areas. Combines basic theory on algorithms for plan/activity recognition along with results from recent workshops and seminars Explains how to interpret and recognize plans and activities from sensor data Provides valuable background knowledge and assembles key concepts into one guide for researchers or students studying these disciplines

Readings in Intelligent User Interfaces

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 9781558604445
Total Pages : 670 pages
Book Rating : 4.6/5 (44 download)

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Book Synopsis Readings in Intelligent User Interfaces by : Mark Maybury

Download or read book Readings in Intelligent User Interfaces written by Mark Maybury and published by Morgan Kaufmann. This book was released on 1998-04 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a compilation of the classic readings in intelligent user interfaces. This text focuses on intelligent, knowledge-based interfaces, combining spoken language, natural language processing, and multimedia and multimodal processing.

Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119792088
Total Pages : 400 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms by : Sandeep Kumar

Download or read book Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms written by Sandeep Kumar and published by John Wiley & Sons. This book was released on 2021-11-23 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: COGNITIVE BEHAVIOR AND HUMAN COMPUTER INTERACTION BASED ON MACHINE LEARNING ALGORITHMS The objective of this book is to provide the most relevant information on Human-Computer Interaction to academics, researchers, and students and for those from industry who wish to know more about the real-time application of user interface design. Human-computer interaction (HCI) is the academic discipline, which most of us think of as UI design, that focuses on how human beings and computers interact at ever-increasing levels of both complexity and simplicity. Because of the importance of the subject, this book aims to provide more relevant information that will be useful to students, academics, and researchers in the industry who wish to know more about its real-time application. In addition to providing content on theory, cognition, design, evaluation, and user diversity, this book also explains the underlying causes of the cognitive, social and organizational problems typically devoted to descriptions of rehabilitation methods for specific cognitive processes. Also described are the new modeling algorithms accessible to cognitive scientists from a variety of different areas. This book is inherently interdisciplinary and contains original research in computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization as applied to the design, implementation, application, analysis, and evaluation of interactive systems. Since machine learning research has already been carried out for a decade in various applications, the new learning approach is mainly used in machine learning-based cognitive applications. Since this will direct the future research of scientists and researchers working in neuroscience, neuroimaging, machine learning-based brain mapping, and modeling, etc., this book highlights the framework of a novel robust method for advanced cross-industry HCI technologies. These implementation strategies and future research directions will meet the design and application requirements of several modern and real-time applications for a long time to come. Audience: A wide range of researchers, industry practitioners, and students will be interested in this book including those in artificial intelligence, machine learning, cognition, computer programming and engineering, as well as social sciences such as psychology and linguistics.

The Master Algorithm

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Author :
Publisher : Basic Books
ISBN 13 : 0465061923
Total Pages : 354 pages
Book Rating : 4.4/5 (65 download)

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Book Synopsis The Master Algorithm by : Pedro Domingos

Download or read book The Master Algorithm written by Pedro Domingos and published by Basic Books. This book was released on 2015-09-22 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recommended by Bill Gates A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.