Advertisement
| data science graduate scholarships: Big Data Computing Rajendra Akerkar, 2013-12-05 Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches. Comprised of five sections, the book focuses on: What Big Data is and why it is important Semantic technologies Tools and methods Business and economic perspectives Big Data applications across industries |
| data science graduate scholarships: Machine Learning Bookcamp Alexey Grigorev, 2021-11-23 The only way to learn is to practice! In Machine Learning Bookcamp, you''ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you''ve learned in previous chapters. By the end of the bookcamp, you''ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technology Machine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that''s exactly what you''ll be doing in Machine Learning Bookcamp. about the book In Machine Learning Bookcamp you''ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you''ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You''ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you''re done working through these fun and informative projects, you''ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems. what''s inside Code fundamental ML algorithms from scratch Collect and clean data for training models Use popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images and text Deploy ML models to a production-ready environment about the reader For readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning. |
| data science graduate scholarships: The Grants Register 2024 Palgrave Macmillan, 2023-09-23 The Grants Register 2024 is the most authoritative and comprehensive guide available of postgraduate and professional funding worldwide. It contains international coverage of grants in almost 60 countries, both English and non-English speaking; information on subject areas, level of study, eligibility and value of awards; and information on over 6,000 awards provided by over 1,300 awarding bodies. Awarding bodies are arranged alphabetically with a full list of awards to allow for comprehensive reading. The Register contains full contact details including telephone, fax, email and websites as well as details of application procedures and closing dates. It is updated annually to ensure accurate information. |
| data science graduate scholarships: The Grants Register 2025 Palgrave Macmillan, |
| data science graduate scholarships: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-11-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| data science graduate scholarships: The Grants Register 2023 Palgrave Macmillan, 2022-09-28 The Grants Register 2023 is the most authoritative and comprehensive guide available of postgraduate and professional funding worldwide. It contains international coverage of grants in almost 60 countries, both English and non-English speaking; information on subject areas, level of study, eligibility and value of awards; and information on over 6,000 awards provided by over 1,300 awarding bodies. Awarding bodies are arranged alphabetically with a full list of awards to allow for comprehensive reading. The Register contains full contact details including telephone, fax, email and websites as well as details of application procedures and closing dates. It is updated annually to ensure accurate information. |
| data science graduate scholarships: Enhancing Effective Instruction and Learning Using Assessment Data Hong Jiao, Robert W. Lissitz, 2021 This book introduces theories and practices for using assessment data to enhance learning and instruction. Topics include reshaping the homework review process, iterative learning engineering, learning progressions, learning maps, score report designing, the use of psychosocial data, and the combination of adaptive testing and adaptive learning. In addition, studies proposing new methods and strategies, technical details about the collection and maintenance of process data, and examples illustrating proposed methods and/or software are included. Chapter 1, 4, 6, 8, and 9 discuss how to make valid interpretations of results and/or achieve more efficient instructions from various sources of data. Chapter 3 and 7 propose and evaluate new methods to promote students' learning by using evidence-based iterative learning engineering and supporting the teachers' use of assessment data, respectively. Chapter 2 provides technical details on the collection, storage, and security protection of process data. Chapter 5 introduces software for automating some aspects of developmental education and the use of predictive modeling. Chapter 10 describes the barriers to using psychosocial data for formative assessment purposes. Chapter 11 describes a conceptual framework for adaptive learning and testing and gives an example of a functional learning and assessment system. In summary, the book includes comprehensive perspectives of the recent development and challenges of using test data for formative assessment purposes. The chapters provide innovative theoretical frameworks, new perspectives on the use of data with technology, and how to build new methods based on existing theories. This book is a useful resource to researchers who are interested in using data and technology to inform decision making, facilitate instructional utility, and achieve better learning outcomes-- |
| data science graduate scholarships: The Kansas Teacher , 1915 |
| data science graduate scholarships: Army ROTC Scholarship Program , 1971 |
| data science graduate scholarships: Fundamentals of Statistical Inference , 1977 |
| data science graduate scholarships: Machine Learning Peter Flach, 2012-09-20 Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook. |
| data science graduate scholarships: 101 Careers in Mathematics: Fourth Edition Deanna Haunsperger, Robert Thompson, 2019-09-24 What can you do with a degree in math? This book addresses this question with 125 career profiles written by people with degrees and backgrounds in mathematics. With job titles ranging from sports analyst to science writer to inventory specialist to CEO, the volume provides ample evidence that one really can do nearly anything with a degree in mathematics. These professionals share how their mathematical education shaped their career choices and how mathematics, or the skills acquired in a mathematics education, is used in their daily work. The degrees earned by the authors profiled here are a good mix of bachelors, masters, and PhDs. With 114 completely new profiles since the third edition, the careers featured within accurately reflect current trends in the job market. College mathematics faculty, high school teachers, and career counselors will all find this a useful resource. Career centers, mathematics departments, and student lounges should have a copy available for student browsing. In addition to the career profiles, the volume contains essays from career counseling professionals on the topics of job-searching, interviewing, and applying to graduate school. |
| data science graduate scholarships: Scholarships for African-American Students Peterson's Guides Staff, Peterson's Guides, 2003 Provides information on thousands of scholarships that are geared specifically for African American college students. |
| data science graduate scholarships: GMAT Official Guide Verbal Review 2022 GMAC (Graduate Management Admission Council), 2021-06-16 Add over 340 verbal practice questions to your prep. Designed by the makers of the GMAT™ exam. Your official source of real GMAT questions from past exams. Set yourself up for success with extra practice on the verbal section of the GMAT exam. Study with over 340 practice questions not included in GMAT™ Official Guide 2022: Book & Online Question Bank! Review answer explanations to help improve your performance. GMAT practice questions are organized by difficulty level: easy, medium and hard. Start at the beginning and work your way up to the hard questions as you build upon your knowledge. All practice questions are from past GMAT exams. The GMAT™ Official Guide Verbal Review 2022: Book + Online Question Bank provides 3 ways to study: Book: Know what to expect on the GMAT exam Learn the exam structure with an introductory review chapter followed by 25 practice questions. Review common formulas and concepts using quick reference sheets. Master reading comprehension and critical reasoning with over 340 practice questions from past GMAT exams, organized by difficulty level. GMAT Online Prep Tools: Focus your studying – Bonus: included with purchase! Practice online with the same questions from the book. Create custom practice sets by difficulty level and by fundamental skill. Track your progress using performance metrics. Prepare for exam day by timing your practice in exam mode. Test your knowledge of key concepts with flashcards. Prepare with the Online Question Bank, which includes online-exclusive questions filterable by difficulty level, question type, fundamental skills, and more. Study anytime, anywhere with the Mobile App: review and reattempt practice sets to improve performance in study or exam mode. Mobile App: Your GMAT prep on the go Study offline after downloading the question sets. Sync between devices. Start on your phone, finish on your computer. Add GMAT™ Official Guide Verbal Review 2022: Book + Online Question Bank to your GMAT prep; the official source of practice questions from past GMAT exams. This product includes a print book with a unique access code to the Online Question Bank and Mobile App. |
| data science graduate scholarships: College Admissions Data Sourcebook Midwest Edition Bound 2010-11 , 2010-09 |
| data science graduate scholarships: College Admissions Data Sourcebook Northeast Edition Looseleaf 2010-11 , 2010-09 |
| data science graduate scholarships: 2010-2011 College Admissions Data Sourcebook West Edition , 2010-09 |
| data science graduate scholarships: 2012-2013 College Admissions Data Sourcebook Southeast Edition , |
| data science graduate scholarships: Foundation Grants to Individuals Foundation Center, 2003 |
| data science graduate scholarships: 2012-2013 College Admissions Data Sourcebook Midwest Edition , |
| data science graduate scholarships: 2016 Catalog of Federal Domestic Assistance United States. Congress. Senate. Office of Management and Budget. Executive Office of the President, 2016 Identifies and describes specific government assistance opportunities such as loans, grants, counseling, and procurement contracts available under many agencies and programs. |
| data science graduate scholarships: Financing a Graduate Education United States. Office of Education, Richard C. McKee, 1964 |
| data science graduate scholarships: Foundation Grants to Individuals , 2007 |
| data science graduate scholarships: 2012-2013 College Admissions Data Sourcebook Northeast Edition , |
| data science graduate scholarships: VTAC eGuide 2016 VTAC, 2015-07-15 The VTAC eGuide is the Victorian Tertiary Admissions Centre’s annual guide to application for tertiary study, scholarships and special consideration in Victoria, Australia. The eGuide contains course listings and selection criteria for over 1,700 courses at 62 institutions including universities, TAFE institutes and independent tertiary colleges. |
| data science graduate scholarships: Handbook of Research on Data Science for Effective Healthcare Practice and Administration Noughabi, Elham Akhond Zadeh, Raahemi, Bijan, Albadvi, Amir, Far, Behrouz H., 2017-07-20 Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics, this publication is recommended for all healthcare professionals, graduate students, engineers, and researchers that are seeking to expand their knowledge of efficient techniques for information analysis in the healthcare professions. |
| data science graduate scholarships: The Best 390 Colleges, 2025 The Princeton Review, Robert Franek, 2024-08-27 NO ONE KNOWS COLLEGES LIKE THE PRINCETON REVIEW! This comprehensive guide to the nation's best colleges provides in-depth profiles on schools, best-of lists by interest, and tons of helpful student-driven details that will help you or your student choose their best-fit colleges! The Princeton Review's college rankings started in 1992 with surveys from 30,000 students. Over 30 years and more than a million student surveys later, we stand by our claim that there is no single “best” college, only the best college for you… and that this is the book that will help you find it! STRAIGHT FROM STUDENTS TO YOU · 390 in-depth school profiles based on candid feedback from 160,000+ students, covering academics, administration, campus life, and financial aid · Insights on unique college character, social scene, and more · Direct quotes from students about their school’s professors, campus culture, career services, and more RANKING LISTS & RATING SCORES · Lists of the top 25 colleges in 50 categories based on students' opinions of academics, campus life, facilities, and much more · Ratings for every school on Financial Aid, Selectivity, and Quality of Life DETAILED ADMISSIONS INFORMATION · The Inside Word on competitive applications, test scores, tuition, and average indebtedness · Comprehensive information on selectivity, freshman profiles, and application deadlines at each school Plus! Free access to 2 full-length practice tests online (1 SAT and 1 ACT) to help you prep for the important admissions-exams part of your admissions journey. |
| data science graduate scholarships: The Best 389 Colleges, 2024 The Princeton Review, Robert Franek, David Soto, Stephen Koch, Aaron Riccio, Laura Rose, 2023-08-15 NO ONE KNOWS COLLEGES LIKE THE PRINCETON REVIEW! This comprehensive guide to the nation's best colleges provides in-depth profiles on schools, best-of lists by interest, and tons of helpful student-driven details that will help you or your student choose their best-fit colleges! The Princeton Review's college rankings started in 1992 with surveys from 30,000 students. Over 30 years and more than a million student surveys later, we stand by our claim that there is no single “best” college, only the best college for you… and that this is the book that will help you find it! STRAIGHT FROM STUDENTS TO YOU · 389 in-depth school profiles based on candid feedback from 165,000 students, covering academics, administration, campus life, and financial aid · Insights on unique college character, social scene, and more · Direct quotes from students about their school’s professors, campus culture, career services, and more RANKING LISTS & RATINGS SCORES · Lists of the top 25 colleges in 50 categories based on students' opinions of academics, campus life, facilities, and much more · Ratings for every school on Financial Aid, Selectivity, and Quality of Life DETAILED ADMISSIONS INFORMATION · The Inside Word on competitive applications, test scores, tuition, and average indebtedness · Comprehensive information on selectivity, freshman profiles, and application deadlines at each school Plus! Free access to 2 full-length practice tests online (1 SAT and 1 ACT) to help you prep for the important admissions-exams part of your admissions journey. |
| data science graduate scholarships: 2012-2013 College Admissions Data Sourcebook West Edition , |
| data science graduate scholarships: Monthly Catalogue, United States Public Documents , 1983 |
| data science graduate scholarships: Directory of Awards National Science Foundation (U.S.). Directorate for Science and Engineering Education, 1983 |
| data science graduate scholarships: The Best 388 Colleges, 2023 The Princeton Review, Robert Franek, 2022-08-23 NO ONE KNOWS COLLEGES LIKE THE PRINCETON REVIEW! This comprehensive guide to the nation's best colleges provides in-depth profiles on schools, best-of lists by interest, and tons of helpful student-driven details that will help you or your student choose their best-fit colleges! The Princeton Review's college rankings started in 1992 with surveys from 30,000 students. Over 30 years and more than a million student surveys later, we stand by our claim that there is no single “best” college, only the best college for you … and that this is the book that will help you find it! STRAIGHT FROM STUDENTS TO YOU · 388 in-depth school profiles based on candid feedback from 143,000 students, covering academics, administration, campus life, and financial aid · Insights on unique college character, social scene, and more · Direct quotes from students about their school’s professors, campus culture, career services, and more RANKING LISTS & RATINGS SCORES · Lists of the top 25 colleges in 50 categories based on students' opinions of academics, campus life, facilities, and much more · Ratings for every school on Financial Aid, Selectivity, and Quality of Life DETAILED ADMISSIONS INFORMATION · The Inside Word on competitive applications, test scores, tuition, and average indebtedness · Comprehensive information on selectivity, freshman profiles, and application deadlines at each school Plus! Free access to 2 full-length practice tests online (1 SAT and 1 ACT) to help you prep for the important admissions-exams part of your admissions journey. |
| data science graduate scholarships: Monthly Catalog of United States Government Publications , 1983 |
| data science graduate scholarships: Scholarships, Fellowships, and Loans Cengage Gale, Thomson Gale (Firm), 2006-11 Provides more than 4,200 sources of education-related financial aid and awards at all levels of study. Includes a section on federal financial aid that features a quick summary of programs sponsored by the federal government. Also includes a state-by-state listing of agencies that users can contact in their home state. |
| data science graduate scholarships: College Admissions Data Sourcebook Northeast Edition Bound 2010-11 , 2010-09 |
| data science graduate scholarships: The Whole Library Handbook 5 George M. Eberhart, 2013-04-23 The Whole Library Handbook, now in its fifth edition, is an encyclopedia filled with facts, tips, lists, and resources essential for library professionals and information workers of all kinds, all carefully handpicked to reflect the most informative, practical, up-to-date, and entertaining examples of library literature. Organized in easy-to-find categories, this unique compendium covers all areas of librarianship from academic libraries to teen services, from cataloging to copyright, and from gaming to social media. Selections include Facts and figures on library workers Bookmobile guidelines 100 great libraries of the world Job search and recruitment techniques, and advice on how to deal with tough economic times Tips on writing articles and book reviews Fun with cataloging rules Famous librarians’ favorite books Covering a huge spectrum of librariana, this one-of-a-kind volume is both educational and entertaining. |
| data science graduate scholarships: International Educational Development Program , 1969 |
| data science graduate scholarships: Artificial Intelligence, Finance, and Sustainability Thomas Walker, |
| data science graduate scholarships: Applied Biomedical Engineering Gaetano Gargiulo, Alistair McEwan, 2011-08-23 This book presents a collection of recent and extended academic works in selected topics of biomedical technology, biomedical instrumentations, biomedical signal processing and bio-imaging. This wide range of topics provide a valuable update to researchers in the multidisciplinary area of biomedical engineering and an interesting introduction for engineers new to the area. The techniques covered include modelling, experimentation and discussion with the application areas ranging from bio-sensors development to neurophysiology, telemedicine and biomedical signal classification. |
| data science graduate scholarships: Data Science & Business Analytics Sneha Kumari, K. K. Tripathy, Vidya Kumbhar, 2020-12-04 Data Science & Business Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
