List Of Publications In Data Science
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List Of Publications In Data Science
This is a list of publications in data science, generally organized by order of use in a data analysis workflow. See the list of publications in statistics for more research-based and fundamental publications; while this list is more applied, business oriented, and cross-disciplinary. General article inclusion criteria are: * Papers from notable practitioners or notable professors, either with a Wikipedia page or reference to their notability * Common knowledge all data professionals should know, with references validating this claim * Highly cited applied statistics and machine learning publications * Discussion-facilitating papers on the field of data science as a whole (for example, the ''Attention Is All You Need'' paper is arguably a landmark paper that can be added here, but it is specific to generative artificial intelligence, not for all practitioners of data) Some reasons why a particular publication might be regarded as important: * Topic creator – A publication ...
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Data Science
Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processing, scientific visualization, algorithms and systems to extract or extrapolate knowledge from potentially noisy, structured, or unstructured data. Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine). Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. However, data science is different from computer science and information science. Turing Awar ...
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Data Management
Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. Concept The concept of data management emerged alongside the evolution of computing technology. In the 1950s, as computers became more prevalent, organizations began to grapple with the challenge of organizing and storing data efficiently. Early methods relied on punch cards and manual sorting, which were labor-intensive and prone to errors. The introduction of database management systems in the 1970s marked a significant milestone, enabling structured storage and retrieval of data. By the 1980s, relational database models revolutionized data management, emphasizing the importance of data as an asset and fostering a data-centric mindset in business. This era also saw the rise of data governance practices, which prioritized the organization and regulation of data to ensure quality and complian ...
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Traditional Knowledge
Traditional knowledge (TK), indigenous knowledge (IK), folk knowledge, and local knowledge generally refers to knowledge systems embedded in the cultural traditions of regional, indigenous, or local communities. Traditional knowledge includes types of knowledge about traditional technologies of areas such as subsistence (e.g. tools and techniques for hunting or agriculture), midwifery, ethnobotany and ecological knowledge, traditional medicine, celestial navigation, craft skills, ethnoastronomy, climate, and others. These systems of knowledge are generally based on accumulations of empirical observation of and interaction with the environment, transmitted orally across generations. The World Intellectual Property Organization (WIPO) and the United Nations (UN) include traditional cultural expressions (TCE) in their respective definitions of indigenous knowledge. Traditional knowledge systems and cultural expressions exist in the forms of culture, stories, legends, folklor ...
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Pedro Domingos
Pedro Domingos (born 1965) is a Professor Emeritus of computer science and engineering at the University of Washington. He is a researcher in machine learning known for Markov logic network enabling uncertain inference. Education Domingos received an undergraduate degree and Master of Science degree from Instituto Superior Técnico (IST). He moved to the University of California, Irvine, where he received a Master of Science degree followed by his PhD. Research and career After spending two years as an assistant professor at IST, he joined the University of Washington as an assistant professor of Computer Science and Engineering in 1999 and became a full professor in 2012. He started a machine learning research group at the hedge fund D. E. Shaw & Co. in 2018, but left in 2019. He co-founded the International Machine Learning Society. As of 2018, he was on the editorial board of ''Machine Learning'' journal. Publications * Pedro Domingos, ''The Master Algorithm: How the Qu ...
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Google
Google LLC (, ) is an American multinational corporation and technology company focusing on online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, consumer electronics, and artificial intelligence (AI). It has been referred to as "the most powerful company in the world" by the BBC and is one of the world's List of most valuable brands, most valuable brands. Google's parent company, Alphabet Inc., is one of the five Big Tech companies alongside Amazon (company), Amazon, Apple Inc., Apple, Meta Platforms, Meta, and Microsoft. Google was founded on September 4, 1998, by American computer scientists Larry Page and Sergey Brin. Together, they own about 14% of its publicly listed shares and control 56% of its stockholder voting power through super-voting stock. The company went public company, public via an initial public offering (IPO) in 2004. In 2015, Google was reorganized as a wholly owned subsidiary of Alphabet Inc. Go ...
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Stephen Fienberg
Stephen Elliott Fienberg (27 November 1942 – 14 December 2016) was a professor emeritus (formerly the Maurice Falk University Professor of Statistics and Social Science) in the Department of Statistics, the Machine Learning Department, Heinz College, and Cylab at Carnegie Mellon University. Fienberg was the founding co-editor of the ''Annual Review of Statistics and Its Application'' and of the '' Journal of Privacy and Confidentiality''. Early life and education Born in Toronto, Ontario, Fienberg earned a Bachelor of Science degree in Mathematics and Statistics from the University of Toronto in 1964, a Master of Arts degree in statistics in 1965, and a Ph.D. in statistics in 1968 from Harvard University for research supervised by Frederick Mosteller. Career and research Fienberg was on the Carnegie Mellon University faculty from 1980 and served as Dean of the Dietrich College of Humanities and Social Sciences. He became a U.S. citizen in 1998. Fienberg was one of the foremo ...
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James R
James may refer to: People * James (given name) * James (surname) * James (musician), aka Faruq Mahfuz Anam James, (born 1964), Bollywood musician * James, brother of Jesus * King James (other), various kings named James * Prince James (other) * Saint James (other) Places Canada * James Bay, a large body of water * James, Ontario United Kingdom * James College, York, James College, a college of the University of York United States * James, Georgia, an unincorporated community * James, Iowa, an unincorporated community * James City, North Carolina * James City County, Virginia ** James City (Virginia Company) ** James City Shire * James City, Pennsylvania * St. James City, Florida Film and television * James (2005 film), ''James'' (2005 film), a Bollywood film * James (2008 film), ''James'' (2008 film), an Irish short film * James (2022 film), ''James'' (2022 film), an Indian Kannada-language film * "James", a television Adventure Time (season 5)#ep42, ...
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Spreadsheet
A spreadsheet is a computer application for computation, organization, analysis and storage of data in tabular form. Spreadsheets were developed as computerized analogs of paper accounting worksheets. The program operates on data entered in cells of a table. Each cell may contain either numeric or text data, or the results of formulas that automatically calculate and display a value based on the contents of other cells. The term ''spreadsheet'' may also refer to one such electronic document. Spreadsheet users can adjust any stored value and observe the effects on calculated values. This makes the spreadsheet useful for "what-if" analysis since many cases can be rapidly investigated without manual recalculation. Modern spreadsheet software can have multiple interacting sheets and can display data either as text and numerals or in graphical form. Besides performing basic arithmetic and mathematical functions, modern spreadsheets provide built-in functions for common financial ...
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Google Sheets
Google Sheets is a spreadsheet application and part of the free, web-based Google Docs Editors suite offered by Google. Google Sheets is available as a web application; a mobile app for: Android, iOS, and as a desktop application on Google's ChromeOS. The app is compatible with Microsoft Excel file formats. The app allows users to create and edit files online while collaborating with other users in real-time. Edits are tracked by which user made them, along with a revision history. Where an editor is making changes is highlighted with an editor-specific color and cursor. A permissions system regulates what users can do. Updates have introduced features that use machine learning, including "Explore", which offers answers based on natural language questions in the spreadsheet. Sheets is one of the services provided by Google that also includes Google Docs, Google Slides, Google Drawings, Google Forms, Google Sites and Google Keep. History Google Sheets originated f ...
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Microsoft Excel
Microsoft Excel is a spreadsheet editor developed by Microsoft for Microsoft Windows, Windows, macOS, Android (operating system), Android, iOS and iPadOS. It features calculation or computation capabilities, graphing tools, pivot tables, and a macro (computer science), macro programming language called Visual Basic for Applications (VBA). Excel forms part of the Microsoft 365 and Microsoft Office suites of software and has been developed since 1985. Features Basic operation Microsoft Excel has the basic features of all spreadsheets, using a grid of ''cells'' arranged in numbered ''rows'' and letter-named ''columns'' to organize data manipulations like arithmetic operations. It has a battery of supplied functions to answer statistical, engineering, and financial needs. In addition, it can display data as line graphs, histograms and charts, and with a very limited three-dimensional graphical display. It allows sectioning of data to view its dependencies on various factors ...
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Karl Broman
Karl Broman is a professor at the University of Wisconsin–Madison (UWM) in the Biostatistics and Medical Informatics departments. He has been employed at UWM since 2007 and previously was employed at Johns Hopkins University from 1999 - 2007. Broman's original research focus was quantitative genetics, although he has also become known for his work on reproducible research. In 2016, Broman was named a Fellow of the American Statistical Association. Research Study of Bile Acids In 2019 Karl Broman and a group of researchers published a study which found genetic variants in mice that impacted the bile acid levels in their guts. Broman's other highly cited papers include: * Broman, Karl W., et al. "Comprehensive human genetic maps: individual and sex-specific variation in recombination." ''The American Journal of Human Genetics'' 63.3 (1998): 861–869. * Broman, Karl W., et al. "R/qtl: QTL mapping in experimental crosses." ''Bioinformatics'' 19.7 (2003): 889–890. * Churchi ...
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Data And Information Visualization
Data and information visualization (data viz/vis or info viz/vis) is the practice of designing and creating graphic or visual representations of a large amount of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items. Typically based on data and information collected from a certain domain of expertise, these visualizations are intended for a broader audience to help them visually explore and discover, quickly understand, interpret and gain important insights into otherwise difficult-to-identify structures, relationships, correlations, local and global patterns, trends, variations, constancy, clusters, outliers and unusual groupings within data (''exploratory visualization''). When intended for the general public (mass communication) to convey a concise version of known, specific information in a clear and engaging manner (''presentational'' or ''explanatory visualization''), it is typically called information gra ...
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