1.一网打尽——学术知识图谱AceKG: A Large-scale Knowledge Graph for Academic Data Mining. Proceedings of the 27th ACM International Conference on Information and Knowledge Management, October 2018, Pages 1487–1490 TechKG TechKG 是一个面向中文、面向学术、多领域的大型知识图谱知识库,知识库由“东北大学-知识图谱研究组”开发完成https://www.jianshu.com/p/4391b3163052

2.causalrelationsandequationsfromdataThis paper reviews the recent advances in causal discovery and equation discovery from data. Both problems are conundrums for scientists and philosophers of science. After all, Science is about studying, discovering, and understanding the structure and behaviour of the physical and natural world throughttps://www.sciencedirect.com/science/article/pii/S0370157323003411

3.LearnattheForefrontofDataScienceEvolutionCompanies recognize the value of developing systems to apply these industrialized methods in-house to leverage existing datasets and models while incorporating more modern analytics and models. TheMaster of Data Science programat CSUN has been designed for professionals interested in building their careershttps://www.computer.org/publications/tech-news/build-your-career/data-science-evolution?source=home

4.TheArtOfDataScienceThe art of Data Science, the website of David Roi Hardoon. Blog, Speaking, Publications, Codes. Artificial Intelligence, Data Science, Data Governance, AI Governance.https://davidroihardoon.com/

5.ADataScienceCourseforUndergraduates:ThinkingwithData2015 Abstract Data science is an emerging interdisciplinary field that combines elements of mathematics, statistics, computer science, and knowledge in a particular application domain for the purpose of extracting meaningful information from the increasingly sophisticated array of data available in many settihttp://arxiv.org/pdf/1503.05570

6.TowardsDataScience博客中文翻译2021(一百一十八)原文:https://towardsdatascience.com/art-of-the-graduate-school-essay-f59b14c79649?source=collection_archive---24--- 让我进入 12 个数据科学硕士项目的 5 个简单技巧 拍摄于中国北京,大约 2018 年(又名 covid 之前);我是前面的金发女郎! 研究生院sop:他们会觉得自己像一头野兽。https://blog.csdn.net/wizardforcel/article/details/142835454

7.DataScienceandtheArtofPersuasionData science is growing up fast. Over the past five years companies have invested billions to get the most-talented data scientists to set up shop, amass zettabytes of material, and run it through their deduction machines to find signals in the unfathomable volume of noise. It’s working—tohttps://hbr.org/2019/01/data-science-and-the-art-of-persuasion

8.DataScienceJournalof Information and Systems (ROIS-DS) in collaboration with the Committee of International Collaborations on Data Science and the Science Council of Japan (SCJ). The event was also strongly supported and facilitated by the global data community, led by the World Data System (WDS) and the https://datascience.codata.org/

9.MissionPossible:HowFDACanMoveattheSpeedofScienceof the Science Looking Forward Subcommittee3 Executive Summary https://www.fda.gov/media/93524/download

10.TrendsasaFullMust-Know in Statistics: The Bivariate Normal Projection Explained Data Science Derivation and practical examples of this powerful concept Luigi Battistoni August 14, 2024 7 min read How to Make the Most of Your Experience as a TDS Author https://towardsdatascience.com/how-i-stay-up-to-date-with-the-latest-ai-trends-as-a-full-time-data-scientist-1e535dd0cd79

11.PISA2015:WhatCanScienceEducationLearnfromtheData?Part of the book series: Contributions from Science Education Research ((CFSE,volume 9)) 829 Accesses Abstract This chapter provides an overview of what we can learn from the PISA data. The first contribution explores some of the insights from analyses of within country data. The next two quhttps://link.springer.com/chapter/10.1007/978-3-030-74490-8_7

12.DataScienceBlogDataScienceDojoData Science Dojo blog features the most recent, and relevant articles about data science, analytics, generative AI, large language models, machine learning, and data visualization.https://blog.datasciencedojo.com/

13.ComputerScience(DataScience),BScUniversityofStudy a Computer Science degree for the skills to pursue careers as Computer Science professionals specialising in Data Science. Study in London.Throughout this Computer Science degree, you will develop a firm grasp of the science underpinning computer and software systems. The modules you can studyhttps://www.gre.ac.uk/undergraduate-courses/ach/computer-science-data-science-bsc-hons

14.DataScienceJournalAccess full-text academic articles: J-STAGE is an online platform for Japanese academic journals.https://www.jstage.jst.go.jp/browse/dsj

15.ModelandexperimentaldevelopmentforBusinessDataScienceWe investigate the impacts of Data Science for businesses.We present the Business Data Science (BDS) model.We demonstrate the details for the BDS model and confirm its validity, usefulness and readiness for organisational adoption.We provide a guideline for organisaitons to consider adoption while https://dl.acm.org/doi/10.1016/j.ijinfomgt.2016.04.004

16.CombustionFlyAshesEnvironmentalScience&TechnologyRare earth elements (REEs) are critical and strategic materials in the defense, energy, electronics, and automotive industries. The reclamation of REEs from coal combustion fly ash has been proposed as a way to supplement REE mining. However, the typical REE contents in coal fly ash, particularlhttps://pubs.acs.org/doi/full/10.1021/acs.est.6b00085

17.NCBIAccess Denied Your access to the NCBI website at www.ncbi.nlm.nih.gov has been temporarily blocked due to a possible misuse/abuse situation involving your site. This is not an indication of a security issue such as a virus or attack. It could be something as simple as a run away https://www.ncbi.nlm.nih.gov/

18.DataAnalyticsvs.DataScience:ABreakdownOnce you have considered factors like your background, personal interests, and desired salary, you can decide which career is the right fit for you and get started on your path to success. To learn more aboutadvancing your careerin data science, download our free guide below. https://www.northeastern.edu/graduate/blog/data-analytics-vs-data-science/

19.WhatIsDataScience?OracleSingaporeChallenges of Implementing Data Science Projects Despite the promise of data science and huge investments in data science teams, many companies are not realizing the full value of their data. In their race to hire talent and create data science programs, some companies have experienced inefficient https://www.oracle.com/sg/what-is-data-science/

20.Data+Science(example below). In both of these cases, I find that the random jitter works well. However, my preferred view of this type of data is often the unit histogram. In the case of the speaker rating, we can also encode size of the dot with the number of people attending the session. https://www.dataplusscience.com/WheatPlot.html

21.DataScienceProfessionalCertificateFor the full program experience Courses in this program HarvardX's Data Science Professional Certificate Meet your instructor from Harvard University (HarvardX) Rafael Irizarry Professor of Biostatistics Harvard University Experts from Harvard University (HarvardX) committed to teaching online learning https://www.edx.org/certificates/professional-certificate/harvardx-data-science

22.Master'sinDataSciencePioneeringMSDataScienceDegreeWPI's master's in data science enables students to articulate findings into innovative solutions. Explore our MS in data science today & get ahead.https://www.wpi.edu/academics/study/data-science-ms

23.ScienceNESDISNationalEnvironmentalSatellite,DataCitizen science includes the general public in meaningful tasks that contribute to the data collection, analysis of data, and the scientific process.https://www.nesdis.noaa.gov/about/citizen-science

24.Top100+EssentialDataScienceTools&Repos:StreamlineBookmark this page for quick access whenever you encounter challenges in any area of data science and machine learning, from DataOps to Recommender Systems to Quantitative Finance—we've got it all covered! So, dive into this one-stop reference module, explore its depths, https://www.packtpub.com/en-ph/learning/how-to-tutorials/top-100-essential-data-science-tools-repos-streamline-your-workflow-today

25.WhatisSpatialDataScience?DefinitionfromCARTOSpatial Data Science is a subset of Data Science that focuses on the special characteristics of spatial data, using modeling to know where & why things happen.https://carto.com/what-is-spatial-data-science/

26.AdministrationNortheast Big Data Innovation Hub Executive Director of the Northeast Big Data Innovation Hub Idrija Ibrahimagic Data Science Institute Director, Post-Award Finance Garud N. Iyengar Data Science Institute Avanessians Director of the Data Science Institute https://datascience.columbia.edu/people-type/administration/

27.Top7ThingsILearnedinmyDataScienceMastersThis was one of the first things learned. We were introduced to this guy which is like a rock star when it comes to the world of data, churn modeling to be more precise. And hearing that sentence was probably when the first myth I had had about data science got destroyed. https://www.kdnuggets.com/2019/10/top-7-things-learned-data-science-masters.html

28.MasterforSmartDataScienceENSAIPrior to the start of the Academic Year, the students will attend courses designed to reinforce different notions in Computer Science, Statistics, and Mathematics. After the beginning of the semester, students will learn methodologies and practical skills, acquire core concepts of data management, andhttps://ensai.fr/en/2-cursus/msc-statistics-for-smart-data/

29.InstituteforDataEngineeringandScience(IDEaS)ResearchThe Institute for Data Engineering and Science (IDEaS) is one of the ten interdisciplinary research institutes at the Georgia Institute of Technology.https://ideas.gatech.edu/

30.2022ClassProfileDataScienceMastersJoin one of the leading data science programs in the nation and accelerate your high-tech career in data science.https://www.washington.edu/datasciencemasters/class-profile/