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| amazon mechanical turk tutorial español: Conducting Online Research on Amazon Mechanical Turk and Beyond Leib Litman, Jonathan Robinson, 2020-05-12 Conducting Online Research on Amazon Mechanical Turk® and Beyond, written by Leib Litman and Jonathan Robinson, provides both students and experienced researchers with essential information about the online platforms most often used for social science research. This insightful and accessible text answers common questions like, How do I maintain data quality in online studies?, What is the best way to recruit hard-to-reach samples? and How can researchers navigate the ethical issues that are unique to online research? Drawing on their experiences as the founders of CloudResearch (formerly TurkPrime), the authors provide information that guides new users planning their first online studies and engages even the most experienced researchers with detailed discussions about the challenges of online research. The book begins with an overview of Amazon’s Mechanical Turk and its rapid rise within academic research. Then, the authors describe how to set up an MTurk study with screenshots that walk readers through the steps of creating an account, designing a study, collecting data, and using third-party applications to enhance MTurk’s functionality. Later chapters provide readers with a detailed understanding of the MTurk environment and use data from hundreds of thousands of participants and tens of millions of completed tasks to dive into issues like participant demographics, sources of sampling bias, and the generalizability of findings from MTurk. Finally, the book explores the benefits of using other online platforms as a complement to MTurk and the ethical issues that are unique to conducting research with online participant platforms. Throughout the book, the authors share hands-on advice and best practices, such as those for conducting longitudinal studies or carrying out complex studies. Altogether the mix of data, insight, and advice make this book an essential resource for researchers who want to understand the online environment and the most effective ways to conduct research online. |
| amazon mechanical turk tutorial español: Algorithms Tobias Matzner, 2023-10-02 Algorithms: Technology, Culture, Politics develops a relational, situated approach to algorithms. It takes a middle ground between theories that give the algorithm a singular and stable meaning in using it as a central analytic category for contemporary society and theories that dissolve the term into the details of empirical studies. The book discusses algorithms in relation to hardware and material conditions, code, data, and subjects such as users, programmers, but also “data doubles”. The individual chapters bridge critical discussions on bias, exclusion, or responsibility with the necessary detail on the contemporary state of information technology. The examples include state-of-the-art applications of machine learning, such as self-driving cars, and large language models such as GPT. The book will be of interest for everyone engaging critically with algorithms, particularly in the social sciences, media studies, STS, political theory, or philosophy. With its broad scope it can serve as a high-level introduction that picks up and builds on more than two decades of critical research on algorithms. |
| amazon mechanical turk tutorial español: Design Recommendations for Intelligent Tutoring Systems: Volume 10 - Strengths, Weaknesses, Opportunities and Threats (SWOT) Analysis of Intelligent Tutoring Systems Anne Sinatra, Art Graesser, Xiangen Hu, Gregory Goodwin, Vasile Rus, 2023-03-10 This book is a resource for those who are new to intelligent tutoring systems (ITSs), as well as those with a great deal of experience with them. This is the tenth book in our Design Recommendations for Intelligent Tutoring Systems book series. The focus of this book is on Strengths, Weaknesses, Opportunities, and Threats (SWOT) Analyses of varying components of ITSs. Each chapter in the book represents a different topic area, and includes a SWOT analysis that is specific to that topic and how it relates to ITSs. This book can be read in order, or a reader can choose a specific topic area and move directly to that chapter. Each SWOT Analysis describes the current state of the topic area, and how the lessons learned from the analysis could be applied to the Generalized Intelligent Framework for Tutoring (GIFT) (Sottilare et al., 2012; Sottilare et al., 2017). GIFT is an ITS architecture that is open-source, modular, and domain independent (Sottilare et al., 2017). Each book in the design recommendations series has addressed a different ITS topic area, and how the work in each chapter can relate to and inform the GIFT architecture. GIFT has continually been in development, with features consistently being added to improve functionality, as well as reduce the skill requirement for authoring content in GIFT. GIFT is freely available in both downloadable and Cloud versions at https://www.GIFTtutoring.org. |
| amazon mechanical turk tutorial español: Designing Experiments for the Social Sciences Renita Coleman, 2018-08-27 This book is a must for learning about the experimental design–from forming a research question to interpreting the results this text covers it all. –Sarah El Sayed, University of Texas at Arlington Designing Experiments for the Social Sciences: How to Plan, Create, and Execute Research Using Experiments is a practical, applied text for courses in experimental design. The text assumes that students have just a basic knowledge of the scientific method, and no statistics background is required. With its focus on how to effectively design experiments, rather than how to analyze them, the book concentrates on the stage where researchers are making decisions about procedural aspects of the experiment before interventions and treatments are given. Renita Coleman walks readers step-by-step on how to plan and execute experiments from the beginning by discussing choosing and collecting a sample, creating the stimuli and questionnaire, doing a manipulation check or pre-test, analyzing the data, and understanding and interpreting the results. Guidelines for deciding which elements are best used in the creation of a particular kind of experiment are also given. This title offers rich pedagogy, ethical considerations, and examples pertinent to all social science disciplines. |
| amazon mechanical turk tutorial español: Research Methods in Vocabulary Studies Philip Durrant, Anna Siyanova-Chanturia, Benjamin Kremmel, Suhad Sonbul, 2022-09-15 Understanding vocabulary and its role in language learning is one of the central tasks of applied linguistic research. It is also an area that has seen, and continues to see, huge progress in terms of the complexity and diversity of work being done. While this makes for a rich and exciting research scene, it can also make the task of developing vocabulary research skills a daunting one as specialist subfields develop ever more sophisticated concepts and methods. This book aims to give readers an understanding of the area that is both detailed and rounded by introducing them to understanding and doing vocabulary research from four key perspectives: corpus linguistics, psycholinguistics, language testing, and teaching and learning. Within each area, a state-of-the-art review describes fundamental concepts and commonly used methods, evaluates ongoing methodological debates, and points to areas for future development. It aims both to give readers a solid grounding in the specialized methods and debates associated with each area and to build connections across these specializations, considering points of contact and ways in which they can work together. |
| amazon mechanical turk tutorial español: Computer Science for Kids Jen Looper, 2023-03-29 A kid-friendly and rigorous new way to teach young readers the fundamentals of computer science In Computer Science for Kids: A Storytelling Approach, AWS Head of Academic Advocacy and Google Developer Expert Dr. Jen Looper delivers a colorful, fun, and exciting demonstration for young readers who want to learn the basics of computer science. Using a variety of technologies, the book covers the elements of computer science in concise detail and illustrates how to build projects to learn foundational concepts behind the technology powering the internet. In the book, you’ll find projects to build using both basic and emerging technologies—like SQL, game development, storytelling software, and 3D augmented reality—as well as: Chapter projects aligned to K-12 curriculum standards for grades 6-8 and a GitHub repo featuring open-source projects Lesson plans for teachers An online space for classrooms to showcase and discuss their work An easy-to-follow and kid-friendly new resource for technology-curious middle school students, Computer Science for Kids is the fun and interesting web development resource that classroom teachers, parents, and homeschooling families have been waiting for. |
| amazon mechanical turk tutorial español: Handbook of Pattern Recognition and Computer Vision (5th Edition) Chi-hau Chen, 2015-12-15 The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures. Recognition applications include character recognition and document analysis, detection of digital mammograms, remote sensing image fusion, and analysis of functional magnetic resonance imaging data, etc. |
| amazon mechanical turk tutorial español: Proceedings of the 8th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym8) Benjamin Goldberg, 2020-05-28 The GIFT Users Symposia began in 2013 with the goal to capture successful implementations of GIFT from the user community and to share recommendations leading to more useful capabilities for authors, researchers, and learners of Adaptive Instructional Systems (AIS). The attached proceedings resulted from papers accepted for the 8th Annual GIFT Users Symposium held virtually (due to COVID-19) on 28-29 May 2020. It is a excellent collection of contributions covering all aspects of AIS implementation, with special attention towards future training and education concepts centered around collaboration and team dynamics. |
| amazon mechanical turk tutorial español: Universal Access in Human-Computer Interaction: Universal Access to Information and Knowledge Constantine Stephanidis, Margherita Antona, 2014-05-15 The four-volume set LNCS 8513-8516 constitutes the refereed proceedings of the 8th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2014, held as part of the 16th International Conference on Human-Computer Interaction, HCII 2014, held in Heraklion, Crete, Greece in June 2014, jointly with 14 other thematically similar conferences. The total of 1476 papers and 220 posters presented at the HCII 2014 conferences was carefully reviewed and selected from 4766 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The total of 251 contributions included in the UAHCI proceedings were carefully reviewed and selected for inclusion in this four-volume set. The 65 papers included in this volume are organized in the following topical sections: access to mobile interaction; access to text, documents and media; access to education and learning; access to games and ludic engagement and access to culture. |
| amazon mechanical turk tutorial español: Proceedings of the 7th Annual GIFT Users Symposium Benjamin S. Goldberg, 2019-05-17 These proceedings are intended to document the evolutions of GIFT as a tool for the authoring of intelligent tutoring systems (ITSs) and the evaluation of adaptive instructional tools and methods. Papers in this volume were selected with the following goals in mind: (1) The candidate papers describe tools and methods that raise the level of knowledge and/or capability in the ITS research and development community (2) The candidate papers describe research, features, or practical applications of GIFT (3) The candidate papers expand ITSs into previously untapped domains (4) The candidate papers build/expand models of automated instruction for individuals and/or teams |
| amazon mechanical turk tutorial español: Human-Computer Interaction -- INTERACT 2013 Paula Kotzé, Gary Marsden, Gitte Lindgaard, Janet Wesson, Marco Winckler, 2013-07-30 The four-volume set LNCS 8117-8120 constitutes the refereed proceedings of the 14th IFIP TC13 International Conference on Human-Computer Interaction, INTERACT 2013, held in Cape Town, South Africa, in September 2013. The 55 papers included in the second volume are organized in topical sections on E-input/output devices (e-readers, whiteboards), facilitating social behaviour and collaboration, gaze-enabled interaction design, gesture and tactile user interfaces, gesture-based user interface design and interaction, health/medical devices, humans and robots, human-work interaction design, interface layout and data entry, learning and knowledge-sharing, learning tools, learning contexts, managing the UX, mobile interaction design, and mobile phone applications. |
| amazon mechanical turk tutorial español: Big Data Analytics Mrutyunjaya Panda, Ajith Abraham, Aboul Ella Hassanien, 2018-12-12 Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects of big data analytics. It covers theory, practices and challenges in social networking. The book spans numerous disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection. |
| amazon mechanical turk tutorial español: Raising the Acceptance of Rank Reversing Redistributions Patricia F. Zauchner, |
| amazon mechanical turk tutorial español: Practical Weak Supervision Wee Hyong Tok, Amit Bahree, Senja Filipi, 2021-09-30 Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create products using weakly supervised learning models. You'll learn how to build natural language processing and computer vision projects using weakly labeled datasets from Snorkel, a spin-off from the Stanford AI Lab. Because so many companies have pursued ML projects that never go beyond their labs, this book also provides a guide on how to ship the deep learning models you build. Get up to speed on the field of weak supervision, including ways to use it as part of the data science process Use Snorkel AI for weak supervision and data programming Get code examples for using Snorkel to label text and image datasets Use a weakly labeled dataset for text and image classification Learn practical considerations for using Snorkel with large datasets and using Spark clusters to scale labeling |
| amazon mechanical turk tutorial español: Government Information in Canada Amanda Wakaruk, Sam-chin Li, 2019-04-04 Public access to government information forms the foundation of a healthy liberal democracy. Because this information can be precarious, it needs stewardship. Government Information in Canada provides analysis about the state of Canadian government information publishing. Experts from across the country draw on decades of experience to offer a broad, well-founded survey of history, procedures, and emerging issues—particularly the challenges faced by practitioners during the transition of government information from print to digital access. This is an indispensable book for librarians, archivists, researchers, journalists, and everyone who uses government information and wants to know more about its publication, circulation, and retention. Contributors: Graeme Campbell, Talia Chung, Sandra Craig, Peter Ellinger, Darlene Fichter, Michelle Lake, Sam-chin Li, Steve Marks, Maureen Martyn, Catherine McGoveran, Martha Murphy, Dani J. Pahulje, Susan Paterson , Carol Perry, Caron Rollins, Gregory Salmers, Tom J. Smyth, Brian Tobin, Amanda Wakaruk, Nicholas Worby |
| amazon mechanical turk tutorial español: Deep Learning For Dummies John Paul Mueller, Luca Massaron, 2019-04-17 Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic—and all of the underlying technologies associated with it. In no time, you’ll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types. Includes sample code Provides real-world examples within the approachable text Offers hands-on activities to make learning easier Shows you how to use Deep Learning more effectively with the right tools This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day. |
| amazon mechanical turk tutorial español: Data Analytics in Cognitive Linguistics Dennis Tay, Molly Xie Pan, 2022-05-09 Contemporary data analytics involves extracting insights from data and translating them into action. With its turn towards empirical methods and convergent data sources, cognitive linguistics is a fertile context for data analytics. There are key differences between data analytics and statistical analysis as typically conceived. Though the former requires the latter, it emphasizes the role of domain-specific knowledge. Statistical analysis also tends to be associated with preconceived hypotheses and controlled data. Data analytics, on the other hand, can help explore unstructured datasets and inspire emergent questions. This volume addresses two key aspects in data analytics for cognitive linguistic work. Firstly, it elaborates the bottom-up guiding role of data analytics in the research trajectory, and how it helps to formulate and refine questions. Secondly, it shows how data analytics can suggest concrete courses of research-based action, which is crucial for cognitive linguistics to be truly applied. The papers in this volume impart various data analytic methods and report empirical studies across different areas of research and application. They aim to benefit new and experienced researchers alike. |
| amazon mechanical turk tutorial español: Passive and Active Measurement Oliver Hohlfeld, Giovane Moura, Cristel Pelsser, 2022-03-21 This book constitutes the proceedings of the 23rd International Conference on Passive and Active Measurement, PAM 2022, held in March 2022. Due to COVID-19 pandemic, the conference was held virtually. The 15 full papers and 15 short papers presented in this volume were carefully reviewed and selected from 62 submissions. The papers present emerging and early-stage research in network measurements – work that seeks to better understand complex, real-world networked systems and offer critical empirical foundations and support to network research. |
| amazon mechanical turk tutorial español: MEDINFO 2019: Health and Wellbeing e-Networks for All L. Ohno-Machado, B. Séroussi, 2019-11-12 Combining and integrating cross-institutional data remains a challenge for both researchers and those involved in patient care. Patient-generated data can contribute precious information to healthcare professionals by enabling monitoring under normal life conditions and also helping patients play a more active role in their own care. This book presents the proceedings of MEDINFO 2019, the 17th World Congress on Medical and Health Informatics, held in Lyon, France, from 25 to 30 August 2019. The theme of this year’s conference was ‘Health and Wellbeing: E-Networks for All’, stressing the increasing importance of networks in healthcare on the one hand, and the patient-centered perspective on the other. Over 1100 manuscripts were submitted to the conference and, after a thorough review process by at least three reviewers and assessment by a scientific program committee member, 285 papers and 296 posters were accepted, together with 47 podium abstracts, 7 demonstrations, 45 panels, 21 workshops and 9 tutorials. All accepted paper and poster contributions are included in these proceedings. The papers are grouped under four thematic tracks: interpreting health and biomedical data, supporting care delivery, enabling precision medicine and public health, and the human element in medical informatics. The posters are divided into the same four groups. The book presents an overview of state-of-the-art informatics projects from multiple regions of the world; it will be of interest to anyone working in the field of medical informatics. |
| amazon mechanical turk tutorial español: The Practice of Crowdsourcing Omar Alonso, 2022-06-01 Many data-intensive applications that use machine learning or artificial intelligence techniques depend on humans providing the initial dataset, enabling algorithms to process the rest or for other humans to evaluate the performance of such algorithms. Not only can labeled data for training and evaluation be collected faster, cheaper, and easier than ever before, but we now see the emergence of hybrid human-machine software that combines computations performed by humans and machines in conjunction. There are, however, real-world practical issues with the adoption of human computation and crowdsourcing. Building systems and data processing pipelines that require crowd computing remains difficult. In this book, we present practical considerations for designing and implementing tasks that require the use of humans and machines in combination with the goal of producing high-quality labels. |
| amazon mechanical turk tutorial español: Frontiers in Pen and Touch Tracy Hammond, Aaron Adler, Manoj Prasad, 2017-12-01 This inspirational book contains evidence-based research presented by educational scientists, for the advancement of stylus-based technology and its applications for college and K-12 classrooms. Writing and sketching are an important part of teaching and learning, and digital ink technologies enable us to perform these activities in a digital world. Frontiers in Pen and Touch aims to highlight software and hardware practices and innovations, to encourage transformational use of pen and touch in the classroom. The content of the book is derived from the 2016 Conference on Pen and Touch Technology on Education (CPTTE). Chapters written by academic practitioners provide stories of success for ink, including multimedia content creation and increasing student engagement. Industry and academic researchers share their findings and present intelligent systems that enable pen and touch systems to teach and motivate students. This book is a must-read for anyone wanting to harness and integrate pen and touch for improving today’s student experiences. |
| amazon mechanical turk tutorial español: Ways of Knowing in HCI Judith S. Olson, Wendy A. Kellogg, 2014-04-19 This textbook brings together both new and traditional research methods in Human Computer Interaction (HCI). Research methods include interviews and observations, ethnography, grounded theory and analysis of digital traces of behavior. Readers will gain an understanding of the type of knowledge each method provides, its disciplinary roots and how each contributes to understanding users, user behavior and the context of use. The background context, clear explanations and sample exercises make this an ideal textbook for graduate students, as well as a valuable reference for researchers and practitioners. 'It is an impressive collection in terms of the level of detail and variety.' (M. Sasikumar, ACM Computing Reviews #CR144066) |
| amazon mechanical turk tutorial español: The Power of Peer Learning Omid Noroozi, Bram De Wever, 2023-06-20 This open access book explores new developments in various aspects of peer learning processes and outcomes. It brings together research studies examining how peer feedback, peer assessment, and small group learning activities can be designed to maximize learning outcomes in higher, but also secondary, education. Conceptual models and methodological frameworks are presented to guide teachers and educational designers for successful implementation of peer learning activities with the hope of maximizing the effectiveness of peer learning in real educational classrooms. There is a strong emphasis on how technology-enhanced tools can advance peer learning, both with respect to designing and implementing learning activities, as well as analyzing learning processes and outcomes. By providing empirical studies from different peer learning initiatives, both teachers and students in academic and professional contexts are informed about the state of the art developments of peer learning. This book contributes to the understanding of peer learning challenges and solutions in all level of education and provide avenues for future research. It includes theoretical, methodological, and empirical chapters which makes it a useful tool for both teaching and research. |
| amazon mechanical turk tutorial español: Advances in Taxation John Hasseldine, 2020-12-09 This volume explores the latest issues in tax and taxation theory, including empirical studies using research methods from different institutional settings and contexts. It is essential reading for anyone interested in tax policy and its impact in practice. |
| amazon mechanical turk tutorial español: Advances in Computational Intelligence Sudip Kumar Sahana, Vandana Bhattacharjee, 2019-07-10 This book presents the proceedings of the International Conference on Computational Intelligence 2018 (ICCI 2018). It brings together work by leading scientists, researchers and research scholars from around the globe on all aspects of computational intelligence. The work is mainly composed of the original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of computational intelligence. Specifically, the major topics covered include classical computational intelligence models and artificial intelligence, neural networks and deep learning, evolutionary swarm and particle algorithms, hybrid systems optimization, constraint programming, human–machine interaction, computational intelligence for web analytics, robotics, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross-disciplinary topics and applications. |
| amazon mechanical turk tutorial español: Design Science Research. Cases Jan vom Brocke, Alan Hevner, Alexander Maedche, 2020-09-23 Design Science Research is a powerful paradigm enabling researchers to make important contributions to society and industry. Simply stated, the goal of DSR is to generate knowledge on how to find innovative solutions to important problems in the form of models, methods, constructs and instantiations. Over the past 20 years, the design science research (DSR) paradigm has developed into an established paradigm in Information Systems Research and it is of strong uptake in many other disciplines, including Management Science and Computer Science. This book provides a collection of twelve DSR cases, presented by experienced researchers in the field. It offers readers access to real-world DSR studies, together with the authors’ reflections on their research processes. These cases will support researchers who want to engage in DSR, and represent a valuable addition to existing introductions to DSR methods and processes. Readers will learn from the hands-on experiences of respected experts who have conducted extensive DSR in a range of application contexts. |
| amazon mechanical turk tutorial español: Intelligent Technologies and Applications Imran Sarwar Bajwa, Tatjana Sibalija, Dayang Norhayati Abang Jawawi, 2020-05-08 This book constitutes the refereed proceedings of the Second International Conference on Intelligent Technologies and Applications, INTAP 2019, held in Bahawalpur, Pakistan, in November 2019. The 60 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 224 submissions. Additionally, the volume presents 1 invited paper. The papers of this volume are organized in topical sections on AI and health; sentiment analysis; intelligent applications; social media analytics; business intelligence;Natural Language Processing; information extraction; machine learning; smart systems; semantic web; decision support systems; image analysis; automated software engineering. |
| amazon mechanical turk tutorial español: Algorithmic Decision Theory Toby Walsh, 2015-08-27 This book constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Algorithmic Decision Theory , ADT 2015, held in September 2015 in Lexington, USA. The 32 full papers presented were carefully selected from 76 submissions. The papers are organized in topical sections such as preferences; manipulation, learning and other issues; utility and decision theory; argumentation; bribery and control; social choice; allocation and other problems; doctoral consortium. |
| amazon mechanical turk tutorial español: Human Computation Edith Subramanya, Luis von Talukdar, 2022-06-01 Human computation is a new and evolving research area that centers around harnessing human intelligence to solve computational problems that are beyond the scope of existing Artificial Intelligence (AI) algorithms. With the growth of the Web, human computation systems can now leverage the abilities of an unprecedented number of people via the Web to perform complex computation. There are various genres of human computation applications that exist today. Games with a purpose (e.g., the ESP Game) specifically target online gamers who generate useful data (e.g., image tags) while playing an enjoyable game. Crowdsourcing marketplaces (e.g., Amazon Mechanical Turk) are human computation systems that coordinate workers to perform tasks in exchange for monetary rewards. In identity verification tasks, users perform computation in order to gain access to some online content; an example is reCAPTCHA, which leverages millions of users who solve CAPTCHAs every day to correct words in books that optical character recognition (OCR) programs fail to recognize with certainty. This book is aimed at achieving four goals: (1) defining human computation as a research area; (2) providing a comprehensive review of existing work; (3) drawing connections to a wide variety of disciplines, including AI, Machine Learning, HCI, Mechanism/Market Design and Psychology, and capturing their unique perspectives on the core research questions in human computation; and (4) suggesting promising research directions for the future. Table of Contents: Introduction / Human Computation Algorithms / Aggregating Outputs / Task Routing / Understanding Workers and Requesters / The Art of Asking Questions / The Future of Human Computation |
| amazon mechanical turk tutorial español: Artificial Intelligence For Dummies John Paul Mueller, Luca Massaron, 2021-10-25 Forget far-away dreams of the future. Artificial intelligence is here now! Every time you use a smart device or some sort of slick technology—be it a smartwatch, smart speaker, security alarm, or even customer service chat box—you’re engaging with artificial intelligence (AI). If you’re curious about how AI is developed—or question whether AI is real—Artificial Intelligence For Dummies holds the answers you’re looking for. Starting with a basic definition of AI and explanations of data use, algorithms, special hardware, and more, this reference simplifies this complex topic for anyone who wants to understand what operates the devices we can’t live without. This book will help you: Separate the reality of artificial intelligence from the hype Know what artificial intelligence can accomplish and what its limits are Understand how AI speeds up data gathering and analysis to help you make informed decisions more quickly See how AI is being used in hardware applications like drones, robots, and vehicles Know where AI could be used in space, medicine, and communication fields sooner than you think Almost 80 percent of the devices you interact with every day depend on some sort of AI. And although you don’t need to understand AI to operate your smart speaker or interact with a bot, you’ll feel a little smarter—dare we say more intelligent—when you know what’s going on behind the scenes. So don’t wait. Pick up this popular guide to unlock the secrets of AI today! |
| amazon mechanical turk tutorial español: Machine Learning with Go Quick Start Guide Michael Bironneau, Toby Coleman, 2019-05-31 This quick start guide will bring the readers to a basic level of understanding when it comes to the Machine Learning (ML) development lifecycle, will introduce Go ML libraries and then will exemplify common ML methods such as Classification, Regression, and Clustering Key FeaturesYour handy guide to building machine learning workflows in Go for real-world scenariosBuild predictive models using the popular supervised and unsupervised machine learning techniquesLearn all about deployment strategies and take your ML application from prototype to production readyBook Description Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go. The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced. The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum. The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring. At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones. What you will learnUnderstand the types of problem that machine learning solves, and the various approachesImport, pre-process, and explore data with Go to make it ready for machine learning algorithmsVisualize data with gonum/plot and GophernotesDiagnose common machine learning problems, such as overfitting and underfittingImplement supervised and unsupervised learning algorithms using Go librariesBuild a simple web service around a model and use it to make predictionsWho this book is for This book is for developers and data scientists with at least beginner-level knowledge of Go, and a vague idea of what types of problem Machine Learning aims to tackle. No advanced knowledge of Go (and no theoretical understanding of the math that underpins Machine Learning) is required. |
| amazon mechanical turk tutorial español: Web Information Retrieval Stefano Ceri, Alessandro Bozzon, Marco Brambilla, Emanuele Della Valle, Piero Fraternali, Silvia Quarteroni, 2013-08-30 With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org. |
| amazon mechanical turk tutorial español: Big Data in Cognitive Science Michael N. Jones, 2016-11-03 The primary goal of this volume is to present cutting-edge examples of mining large and naturalistic datasets to discover important principles of cognition and to evaluate theories in a way that would not be possible without such scale. It explores techniques that have been underexploited by cognitive psychologists and explains how big data from numerous sources can inform researchers with different research interests and shed further light on how brain, cognition and behavior are interconnected. The book fills a major gap in the literature and has the potential to rapidly advance knowledge throughout the field. It is essential reading for any cognitive psychology researcher. |
| amazon mechanical turk tutorial español: Psychology and Work Donald M. Truxillo, Talya N. Bauer, Berrin Erdogan, 2015-12-22 Psychology and Work is a new textbook for introductory Industrial and Organizational (I/O) Psychology classes. Written by award-winning I/O professors with expertise in I/O Psychology and teaching this course, the book is organized into three main sections. It first includes an overview of the history of I/O Psychology and a chapter on research methods, subsequently covers the core principles of Industrial Psychology, and then discusses the key areas of Organizational Psychology. The book contains numerous features that highlight key concepts and their relevance to students: Learning goals direct students to the main objectives of each chapter What Does This Mean for You? and Workplace Application boxes address the implications of the material for students Case studies with accompanying questions illustrate how concepts are relevant in real-world practice Reading lists and Your Turn questions provide further discussion Keywords defined in the margins help students grasp important concepts Sections discussing global and current issues give students a sense of what’s happening in the I/O psychology field The book also has extensive online resources such as interactive features, quizzes, PowerPoint slides, and an instructor’s manual. Accompanied by a dynamic design and a strong set of pedagogical tools, Psychology and Work presents all-new content and relevant coverage for the I/O psychology course. |
| amazon mechanical turk tutorial español: Computational Science and Its Applications – ICCSA 2021 Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria A. C. Rocha, Eufemia Tarantino, Carmelo Maria Torre, 2021-09-10 The ten-volume set LNCS 12949 – 12958 constitutes the proceedings of the 21st International Conference on Computational Science and Its Applications, ICCSA 2021, which was held in Cagliari, Italy, during September 13 – 16, 2021. The event was organized in a hybrid mode due to the Covid-19 pandemic.The 466 full and 18 short papers presented in these proceedings were carefully reviewed and selected from 1588 submissions. The books cover such topics as multicore architectures, mobile and wireless security, sensor networks, open source software, collaborative and social computing systems and tools, cryptography, human computer interaction, software design engineering, and others. Part III of the set icludes papers on Information Systems and Technologies and the proceeding of the following workshops: International Workshop on Automatic landform classification: spatial methods and applications (ALCSMA 2021); International Workshop on Application of Numerical Analysis to Imaging Science (ANAIS 2021); International Workshop on Advances in information Systems and Technologies for Emergency management, risk assessment and mitigationbased on the Resilience concepts (ASTER 2021); International Workshop on Advances in Web Based Learning (AWBL 2021). |
| amazon mechanical turk tutorial español: Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches Boonthum-Denecke, Chutima, 2011-12-31 This book defines the role of advanced natural language processing within natural language processing, and alongside other disciplines such as linguistics, computer science, and cognitive science--Provided by publisher. |
| amazon mechanical turk tutorial español: Information Retrieval Meets Information Visualization Maristella Agosti, Nicola Ferro, Pamela Forner, Henning Müller, Giuseppe Santucci, 2013-01-24 The research domains information retrieval and information visualization have always been independent from each other. However, they have the potential to be mutually beneficial. With this in mind, a writer school was organized in Zinal, Switzerland, in January 2012, within the context of the EU-funded research project PROMISE (Participative Research Laboratory for Multimedia and Multilingual Information Systems Evaluation). PROMISE aims at advancing the experimental evaluation of complex multimedia and multilingual information systems in order to support individuals, commercial entities, and communities who design, develop, employ, and improve such complex systems. The overall goal of PROMISE is to deliver a unified environment collecting data, knowledge, tools, and methodologies, and to help the user community involved in experimental evaluation. This book constitutes the outcome of the PROMISE Winter School 2012 and contains 11 invited lectures from the research domains information retrieval and information visualization. A large variety of subjects are covered, including hot topics such as crowdsourcing and social media. |
| amazon mechanical turk tutorial español: Analytics and Data Science Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones, 2017-10-05 This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread, develop and utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in Analytics and Data Science: Advances in Research and Pedagogy are written by leading academics and practitioners that participated at the Business Analytics Congress 2015. Applications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination of the impact of these technologies and applications on business and society. As organizations in various sectors formulate their IT strategies and investments, it is imperative to understand how various analytics and data science approaches contribute to the improvements in organizational information processing and decision making. Recent advances in computational capacities coupled by improvements in areas such as data warehousing, big data, analytics, semantics, predictive and descriptive analytics, visualization, and real-time analytics have particularly strong implications on the growth of analytics and data science. |
| amazon mechanical turk tutorial español: Artificial Intelligence for Human Computer Interaction: A Modern Approach Yang Li, Otmar Hilliges, 2021-11-04 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. |
| amazon mechanical turk tutorial español: Hands-On One-shot Learning with Python Shruti Jadon, Ankush Garg, 2020-04-10 Get to grips with building powerful deep learning models using PyTorch and scikit-learn Key FeaturesLearn how you can speed up the deep learning process with one-shot learningUse Python and PyTorch to build state-of-the-art one-shot learning modelsExplore architectures such as Siamese networks, memory-augmented neural networks, model-agnostic meta-learning, and discriminative k-shot learningBook Description One-shot learning has been an active field of research for scientists trying to develop a cognitive machine that mimics human learning. With this book, you'll explore key approaches to one-shot learning, such as metrics-based, model-based, and optimization-based techniques, all with the help of practical examples. Hands-On One-shot Learning with Python will guide you through the exploration and design of deep learning models that can obtain information about an object from one or just a few training samples. The book begins with an overview of deep learning and one-shot learning and then introduces you to the different methods you can use to achieve it, such as deep learning architectures and probabilistic models. Once you've got to grips with the core principles, you'll explore real-world examples and implementations of one-shot learning using PyTorch 1.x on datasets such as Omniglot and MiniImageNet. Finally, you'll explore generative modeling-based methods and discover the key considerations for building systems that exhibit human-level intelligence. By the end of this book, you'll be well-versed with the different one- and few-shot learning methods and be able to use them to build your own deep learning models. What you will learnGet to grips with the fundamental concepts of one- and few-shot learningWork with different deep learning architectures for one-shot learningUnderstand when to use one-shot and transfer learning, respectivelyStudy the Bayesian network approach for one-shot learningImplement one-shot learning approaches based on metrics, models, and optimization in PyTorchDiscover different optimization algorithms that help to improve accuracy even with smaller volumes of dataExplore various one-shot learning architectures based on classification and regressionWho this book is for If you're an AI researcher or a machine learning or deep learning expert looking to explore one-shot learning, this book is for you. It will help you get started with implementing various one-shot techniques to train models faster. Some Python programming experience is necessary to understand the concepts covered in this book. |
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