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  • MOOC 
    计算机辅助翻译原理与实践

    计算机辅助翻译原理与实践

    Those who work in modern language service industry are required to be capable of using computers and Internet to aid their translation job by adapting a variety of efficient tools, rather than just using word processor tools and several basic computer-aided translation software. This course teaches the basic concepts of computer-aided translation technology, helps students learn to use a variety of computer-aided translation tools, enhances their ability to engage in various kinds of language service in such a technical environment, and helps them understand what the modern language service industry looks like. This course covers introduction to modern language services industry, basic principles and concepts of translation technology, information technology used in the process of language translation, how to use electronic dictionaries, Internet resources and corpus tools, practice of different computer-aided translation tools, translation quality assessment, basic concepts of machine translation, globalization, localization and so on. As a compulsory course for students majoring in Translation and Interpreting, this course is also suitable for students with or without language major background. By learning this course, students can better understand modern language service industry and their work efficiency will be improved for them to better deliver translation service. The course is one of the PKU-DeTao MOOCs, which is a joint effort by Peking University and DeTao Masters Academy.

    Subjects:
    Translating and Interpreting and Computing
    Keywords:
    Machine translating Translating interpreting
    Resource Type:
    MOOC
     
  • Others 
    freeCodeCamp

    freeCodeCamp

    freeCodeCamp is a proven path to your first software developer job. More than 40,000 people have gotten developer jobs after completing this – including at big companies like Google and Microsoft. If you are new to programming, we recommend you start at the beginning and earn these certifications in order. To earn each certification, build its 5 required projects and get all their tests to pass.You can add these certifications to your résumé or LinkedIn. But more important than the certifications is the practice you get along the way.If you feel overwhelmed, that is normal. Programming is hard. Practice is the key. Practice, practice, practice. And this curriculum will give you thousands of hours of hands-on programming practice. And if you want to learn more math and computer science theory, we also have thousands of hours of video courses on freeCodeCamp's YouTube channel. If you want to get a developer job or freelance clients, programming skills will be just part of the puzzle. You also need to build your personal network and your reputation as a developer. You can do this on Twitter and GitHub, and also on the freeCodeCamp forum. Happy coding.

    Subjects:
    Computing
    Keywords:
    Computer programming Programming languages (Electronic computers) Coding theory
    Resource Type:
    Others
     
  • Others 
    W3School

    W3School

    W3Schools is optimized for learning, testing, and training. Examples might be simplified to improve reading and basic understanding. Tutorials, references, and examples are constantly reviewed to avoid errors, but we cannot warrant full correctness of all content.

    Subjects:
    Computing
    Keywords:
    Web publishing Web site development Web sites -- Design
    Resource Type:
    Others
     
  • e-book 
    Urban informatics

    Urban informatics

    This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.

    Subjects:
    Land Surveying and Geo-Informatics
    Keywords:
    Smart cities Cities towns -- Data processing Cities towns -- Remote sensing Big data
    Resource Type:
    e-book
     
  • e-book 
    The Crystal Ball Instruction Manual Volume One: Introduction to Data Science

    The Crystal Ball Instruction Manual Volume One: Introduction to Data Science

    A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background.

    Subjects:
    Computing
    Keywords:
    Data mining Computer science Artificial intelligence Textbooks
    Resource Type:
    e-book
     
  • Video 
    The Basics of AI for Business

    The Basics of AI for Business

    On the TED@BCG stage, AI pathfinder Philipp Gerbert dispels the myth of AI as a complex and mysterious tool for business. In reality, he says, even those of us outside Silicon Valley can have an intimate understanding of AI and put it to work today. Gerbert walks us through the ABC's of AI and what it can mean for your organization.

    Keywords:
    Business enterprises -- Technological innovations Artificial intelligence
    Resource Type:
    Video
     
  • Video 
    Technology that Tackles The Teen Suicide Epidemic

    Technology that Tackles The Teen Suicide Epidemic

    Tanmay Bakshi realized that in order to prevent suicide, we need a better way of detecting patterns. For the last 3 years, Tanmay and his team have been developing an app that can pick up on irregularities in a person's online behavior to build an early warning systems for at-risk teens. His hope is that this app will help get teens in distress the help they need, when they need it most.

    Subjects:
    Sociology and Social Work and Human Services
    Keywords:
    Suicidal behavior -- Risk factors Teenagers -- Suicidal behavior -- Prevention Internet teenagers
    Resource Type:
    Video
     
  • Others 
    Symbolab: Matrix Calculator

    Symbolab: Matrix Calculator

    Symbolab is an advanced math education tool. It allows users to learn, practice and discover math topics using mathematical symbols and scientific notations as well as text. Symbolab provides automated step by step solutions to algebraic, trigonometric and calculus topics covering from middle school through college. Symbolab offers a wealth of smart calculators including: equations, simultaneous equations, inequalities, integrals, derivatives, limits , tangent line, trigonometric equations, functions and more. The stated goal of the site is to make scientific content universally accessible by expanding the searchable data space onto scientific notations, expressions, equations and formulas. This is done by applying proprietary machine learning algorithms in order to understand the meaning and context of the queries. Symbolab, making math simpler.

    Course related:
    AMA1007 Calculus and Linear Algebra
    Subjects:
    Computing
    Keywords:
    Matrices Matrices -- Computer programs Mathematics -- Computer programs
    Resource Type:
    Others
     
  • Video 
    StatQuest with Josh Starmer

    StatQuest with Josh Starmer

    Statistics, Machine Learning and Data Science can sometimes seem like very scary topics, but since each technique is really just a combination of small and simple steps, they are actually quite simple. My goal with StatQuest is to break down the major methodologies into easy to understand pieces. That said, I don't dumb down the material. Instead, I build up your understanding so that you are smarter.

    Course related:
    HTI34016 Introduction to Clinical Research
    Subjects:
    Computing and Mathematics and Statistics
    Keywords:
    Statistics Mathematical analysis Data mining Machine learning
    Resource Type:
    Video
     
  • Courseware 
    Stanford Engineering Everywhere

    Stanford Engineering Everywhere

    Stanford Engineering Everywhere (SEE) expands the Stanford experience to students and educators online and at no charge. A computer and an Internet connection are all you need. The SEE course portfolio includes one of Stanford's most popular sequences: the three-course Introduction to Computer Science, taken by the majority of Stanford’s undergraduates, as well as more advanced courses in artificial intelligence and electrical engineering.

    Course related:
    EE1D01 Electrical Science for Everyone
    Subjects:
    Electronic and Information Engineering, Biomedical Engineering, Mechanical Engineering, and Computing
    Keywords:
    Engineering Computer science
    Resource Type:
    Courseware
     
  • Others 
    Scikit-learn

    Scikit-learn

    Scikit Learn provide simple and efficient tools for predictive data analysis. Assessible to everybody, and reusable in various contexts. It built on NumPy, SciPy, and matplotlib. It is open sources, commercially usable under the BSD License.

    Subjects:
    Computing
    Keywords:
    Python (Computer program language)
    Resource Type:
    Others
     
  • Others 
    Scikit Learn - User Guide

    Scikit Learn - User Guide

    This project was started in 2007 as a Google Summer of Code project by David Cournapeau. Later that year, Matthieu Brucher started work on this project as part of his thesis. In 2010 Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort and Vincent Michel of INRIA took leadership of the project and made the first public release, February the 1st 2010. Since then, several releases have appeared following a ~ 3-month cycle, and a thriving international community has been leading the development.

    Course related:
    EIE6207 Theoretical Fundamental and Engineering Approaches for Intelligent Signal and Information Processing
    Subjects:
    Computing
    Keywords:
    Machine learning Python (Computer program language)
    Resource Type:
    Others
     
  • Presentation 
    Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process

    Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process

    This video was recorded at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Athens 2011. Hierarchical modeling and reasoning are fundamental in machine intelligence, and for this the two-parameter Poisson-Dirichlet Process (PDP) plays an important role. The most popular MCMC sampling algorithm for the hierarchical PDP and hierarchical Dirichlet Process is to conduct an incremental sampling based on the Chinese restaurant metaphor, which originates from the Chinese restaurant process (CRP). In this paper, with the same metaphor, we propose a new table representation for the hierarchical PDPs by introducing an auxiliary latent variable, called table indicator, to record which customer takes responsibility for starting a new table. In this way, the new representation allows full exchangeability that is an essential condition for a correct Gibbs sampling algorithm. Based on this representation, we develop a block Gibbs sampling algorithm, which can jointly sample the data item and its table contribution. We test this out on the hierarchical Dirichlet process variant of latent Dirichlet allocation (HDP-LDA) developed by Teh, Jordan, Beal and Blei. Experiment results show that the proposed algorithm outperforms their "posterior sampling by direct assignment" algorithm in both out-of-sample perplexity and convergence speed. The representation can be used with many other hierarchical PDP models.

    Subjects:
    Computing
    Keywords:
    Machine learning Artificial intelligence
    Resource Type:
    Presentation
     
    OER
  • Video 
    SPSS Training and Tutorials

    SPSS Training and Tutorials

    Explore statistical analysis with SPSS. Topics covered include how to create and analyze charts, build reports, import spreadsheets, create regression models, and export presentation graphics.

    Keywords:
    Statistics -- Computer programs SPSS (Computer file) Social sciences -- Statistical methods -- Computer programs
    Resource Type:
    Video
     
  • Video 
    SAS: How to Tutorials - Advanced Analytics

    SAS: How to Tutorials - Advanced Analytics

    The free resources help you learn SAS quickly without a significant financial or time commitment. In Advanced Analytics module, you will explore the use of SAS in basic statistics, econometrics, forecasting, machine learning, optimization, and more.

    Subjects:
    Statistics and Research Methods
    Keywords:
    Statistics -- Data processing SAS (Computer file)
    Resource Type:
    Video
     
  • Video 
    Quality Incentive Scheme on Online Teaching: Sharing Sessions EE, LIB, LMS, SLLO

    Quality Incentive Scheme on Online Teaching: Sharing Sessions EE, LIB, LMS, SLLO

    EDC is organising a series of Sharing Sessions that present departmental project deliverables and innovations in Technology Enhanced Learning, promoting sustainable and impactful practices that resonate across PolyU and beyond, and funded by PolyU’s Quality Incentive Scheme on Online Teaching, Stage I.
    This session proudly presents four departments:
    EE: VR, AR & machine learning by Dr Fung Yu-fai
    LIB: Using DataCamp to Support Online Learning and Teaching of Data Literacy by Mr Ernest Lam
    LMS: Gamification and simulation-based teaching by Dr Anthony Pang
    SLLO & COMP: Metaverse and virtual learning platforms by Dr Grace Ngai
    Event Date: 15/2/2023
    Presenter(s): Dr Yu-fai Fung (EE), Mr Ernest Lam (LIB), Dr Anthony Pang (LMS), Dr Grace Ngai (SLLO)
    Facilitator(s): Mr Roy Kam (EDC)

    Subjects:
    Lesson Design and Good Practices
    Keywords:
    College teaching Web-based instruction Internet in education Lesson planning Educational technology
    Resource Type:
    Video
     
  • Others 
    Papers With Code: The latest in machine learning

    Papers With Code: The latest in machine learning

    The mission of Papers With Code is to create a free and open resource with Machine Learning papers, code and evaluation tables.We believe this is best done together with the community and powered by automation.

    Course related:
    COMP5121 Data Mining and Data Warehousing Applications, COMP5212 Software Design and Architecture, COMP5123 Intelligent Information Systems, COMP5222 Software Testing and Quality Assurance, and COMP5131 Introduction to Information Systems
    Subjects:
    Computing
    Keywords:
    Machine learning Artificial intelligence
    Resource Type:
    Others
     
  • e-book 
    New Advances in Machine Learning

    New Advances in Machine Learning

    The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call “learning” tasks, as we use the word in daily life. It is also broad enough to encompass computers that improve from experience in quite straightforward ways. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners. The wide scope of the book provides a good introduction to many approaches of machine learning, and it is also the source of useful bibliographical information.

    Course related:
    COMP4432 Machine Learning
    Subjects:
    Computing
    Keywords:
    Machine learning
    Resource Type:
    e-book
     
  • Video 
    Natural Language Processing (NLP) Zero to Hero

    Natural Language Processing (NLP) Zero to Hero

    Welcome to Zero to Hero for Natural Language Processing using TensorFlow! If you’re not an expert on AI or ML, don’t worry -- we’re taking the concepts of NLP and teaching them from first principles with our host Laurence Moroney.

    Subjects:
    Computing
    Keywords:
    Machine learning Natural language processing (Computer science)
    Resource Type:
    Video
     
  • Others 
    Natural Language Processing

    Natural Language Processing

    Distinguish yourself by learning to work with text data.

    Subjects:
    Computing
    Keywords:
    Python (Computer program language) Natural language processing (Computer science)
    Resource Type:
    Others