3 10 25 http://www.oer.unair.ac.id/files/original/b8216dcb30545ec9704ab4920ef9fc66.jpg bcba5bd1f941e1dc1a14f36a49225ba2 http://www.oer.unair.ac.id/files/original/98b3c1083324d3da90832d3288931ea9.pdf 1724d11b24c3673b930f3e14faa65b70 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Introduction to Data Science and Machine Learning Subject The topic of the resource Machine learning Data mining Description An account of the resource “Introduction to Data Science and Machine Learning” has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications. Source A related resource from which the described resource is derived https://mts.intechopen.com/storage/books/7664/authors_book/authors_book.pdf Publisher An entity responsible for making the resource available IntechOpen Date A point or period of time associated with an event in the lifecycle of the resource 2020 Contributor An entity responsible for making contributions to the resource Sud, Keshav (editor) Erdogmus, Pakize (editor) Kadry, Seifedine (editor) Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by/3.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Book Identifier An unambiguous reference to the resource within a given context 10.5772/intechopen.77469 Data Mining Machine learning OER Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/03de553784ac860d61869cbe9de6efc5.jpg 3bcaedfec9db3539ddef9e8ab3c6656a http://www.oer.unair.ac.id/files/original/a41802d0be83428551bd184df43863fc.pdf ed2e626d6b970db9965197d1312ae3f4 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Representation Learning for Natural Language Processing Subject The topic of the resource Computational linguistics Data mining Artificial intelligence Natural language & machine translation Description An account of the resource This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing. Creator An entity primarily responsible for making the resource Liu, Zhiyuan Lin, Yankai Sun, Maosong Source A related resource from which the described resource is derived https://library.oapen.org/bitstream/20.500.12657/39974/1/2020_Book_RepresentationLearningForNatur.pdf Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2020 Rights Information about rights held in and over the resource http://creativecommons.org/licenses/by/4.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Book Identifier An unambiguous reference to the resource within a given context 10.1007/978-981-15-5573-2 Computational Linguistics Data Mining Natural Language OER Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/c0a6e81f295de427c5ab506455e3eda7.jpg 1d4414ba0bdba945f8c384c3d028a8ae http://www.oer.unair.ac.id/files/original/231e2afd1b96e0ee5ba8834195cba3b6.pdf 02b13606e9b1d837cf07ea6b37bd2d8b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource User Satisfaction with Personalised Internet Applications Subject The topic of the resource Information technology Satisfaction Description An account of the resource The study focuses on user satisfaction with websites and personalised internet applications in particular. The abundance of information on the web is increasing more and more. Therefore, the significance of websites targeting the users’ preferences, like personalised Internet applications, is rising. The aim of this study was to find out which factors determine user satisfaction with personalised internet applications. Factors like the usefulness of the information or trust towards how personal information is handled were considered. A large-scale user survey evaluating three internet applications (from the travel, e-learning and real estate domains) was conducted. Expert opinions were collected to complement the results and provide insights from users’ and experts’ points of views. Creator An entity primarily responsible for making the resource Bauernfeind, Ulrike Source A related resource from which the described resource is derived http://library.oapen.org/handle/20.500.12657/26803 Publisher An entity responsible for making the resource available Peter Lang International Academic Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2018 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by/4.0/legalcode Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context DOI 10.3726/b14001 Internet Applications OER Perpustakaan Universitas Airlangga oer.unair.ac.id Satisfaction http://www.oer.unair.ac.id/files/original/d6aa38566dae1c1e88c6ab82e6d40d99.jpg e15baa2295a9478d92aacd2c3e65c566 http://www.oer.unair.ac.id/files/original/4d5f50188e5c4e4edfc6496d7bb8106a.pdf 8bd577f9ebf4528dbc1150c3efe40308 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Machine Learning for Cyber Physical Systems Subject The topic of the resource Electrical engineering Computer networks--Access control Telecommunications engineers Description An account of the resource This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments. 130p Creator An entity primarily responsible for making the resource Beyerer, Jürgen Maier, Alexander Niggemann, Oliver Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/46102 Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2021 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource http://creativecommons.org/licenses/by/4.0/ Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English Type The nature or genre of the resource Proceeding Identifier An unambiguous reference to the resource within a given context 10.1007/978-3-662-62746-4 Electrical engineering OER Perpustakaan Universitas Airlangga Proceedins http://www.oer.unair.ac.id/files/original/f7bfaf02968bfceed8f501d0590f2caf.jpg ee9e1ce9e3110a5cc7f828f95625c06e http://www.oer.unair.ac.id/files/original/18c3fc37d0b2e8a5a7b413601d497cfa.pdf 6479e1993766961a60719f0318ee6e0c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Practical Guide to TPM 2.0: Using the New Trusted Platform Module in the New Age of Security Subject The topic of the resource Computer Science Creator An entity primarily responsible for making the resource Arthur, Will Challener, David Goldman, Kenneth Source A related resource from which the described resource is derived http://www.springernature.com/oabooks Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2015 Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/4.0/ Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context 10.1007/978-1-4302-6584-9 Fakultas Sains dan Teknologi TPM 2.0