Advertisement
| data science in spanish: Data Science Xiaohui Cheng, Weipeng Jing, Xianhua Song, Zeguang Lu, 2019-09-13 This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application. |
| data science in spanish: Data Science—Analytics and Applications Peter Haber, Thomas J. Lampoltshammer, Manfred Mayr, 2024-01-03 Based on the overall digitalization in all spheres of our lives, Data Science and Artificial Intelligence (AI) are nowadays cornerstones for innovation, problem solutions, and business transformation. Data, whether structured or unstructured, numerical, textual, or audiovisual, put in context with other data or analyzed and processed by smart algorithms, are the basis for intelligent concepts and practical solutions. These solutions address many application areas such as Industry 4.0, the Internet of Things (IoT), smart cities, smart energy generation, and distribution, and environmental management. Innovation dynamics and business opportunities for effective solutions for the essential societal, environmental, or health challenges, are enabled and driven by modern data science approaches. However, Data Science and Artificial Intelligence are forming a new field that needs attention and focused research. Effective data science is only achieved in a broad and diverse discourse – when data science experts cooperate tightly with application domain experts and scientists exchange views and methods with engineers and business experts. Thus, the 5th International Data Science Conference (iDSC 2023) brings together researchers, scientists, business experts, and practitioners to discuss new approaches, methods, and tools made possible by data science. |
| data science in spanish: Textual Data Science with R Mónica Bécue-Bertaut, 2019-03-11 Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by applications. The book is aimed at researchers and students in statistics, social sciences, hiistory, literature and linguistics. The book will be of interest to anyone from practitioners needing to extract information from texts to students in the field of massive data, where the ability to process textual data is becoming essential. |
| data science in spanish: R for Data Science Hadley Wickham, Garrett Grolemund, 2016-12-12 Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true signals in your dataset Communicate—learn R Markdown for integrating prose, code, and results |
| data science in spanish: Data Science and Big Data Analytics Durgesh Mishra, |
| data science in spanish: Digital Libraries: The Era of Big Data and Data Science Michelangelo Ceci, Stefano Ferilli, Antonella Poggi, 2020-01-22 This book constitutes the thoroughly refereed proceedings of the 16th Italian Research Conference on Digital Libraries, IRCDL 2020, held in Bari, Italy, in January 2020. The 12 full papers and 6 short papers presented were carefully selected from 26 submissions. The papers are organized in topical sections on information retrieval, bid data and data science in DL; cultural heritage; open science. |
| data science in spanish: Data Science and Predictive Analytics Ivo D. Dinov, 2023-02-16 This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical inference techniques, and cutting-edge machine learning approaches to address a wide range of crucial biomedical informatics, health analytics applications, and decision science challenges. Each concept in the book includes a rigorous symbolic formulation coupled with computational algorithms and complete end-to-end pipeline protocols implemented as functional R electronic markdown notebooks. These workflows support active learning and demonstrate comprehensive data manipulations, interactive visualizations, and sophisticated analytics. The content includes open problems, state-of-the-art scientific knowledge, ethical integration of heterogeneous scientific tools, and procedures for systematic validation and dissemination of reproducible research findings. Complementary to the enormous challenges related to handling, interrogating, and understanding massive amounts of complex structured and unstructured data, there are unique opportunities that come with access to a wealth of feature-rich, high-dimensional, and time-varying information. The topics covered in Data Science and Predictive Analytics address specific knowledge gaps, resolve educational barriers, and mitigate workforce information-readiness and data science deficiencies. Specifically, it provides a transdisciplinary curriculum integrating core mathematical principles, modern computational methods, advanced data science techniques, model-based machine learning, model-free artificial intelligence, and innovative biomedical applications. The book’s fourteen chapters start with an introduction and progressively build foundational skills from visualization to linear modeling, dimensionality reduction, supervised classification, black-box machine learning techniques, qualitative learning methods, unsupervised clustering, model performance assessment, feature selection strategies, longitudinal data analytics, optimization, neural networks, and deep learning. The second edition of the book includes additional learning-based strategies utilizing generative adversarial networks, transfer learning, and synthetic data generation, as well as eight complementary electronic appendices. This textbook is suitable for formal didactic instructor-guided course education, as well as for individual or team-supported self-learning. The material is presented at the upper-division and graduate-level college courses and covers applied and interdisciplinary mathematics, contemporary learning-based data science techniques, computational algorithm development, optimization theory, statistical computing, and biomedical sciences. The analytical techniques and predictive scientific methods described in the book may be useful to a wide range of readers, formal and informal learners, college instructors, researchers, and engineers throughout the academy, industry, government, regulatory, funding, and policy agencies. The supporting book website provides many examples, datasets, functional scripts, complete electronic notebooks, extensive appendices, and additional materials. |
| data science in spanish: Data Science for Healthcare Sergio Consoli, Diego Reforgiato Recupero, Milan Petković, 2019-02-23 This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book. |
| data science in spanish: The Great Dictionary English - Spanish Benjamin Maximilian Eisenhauer, This dictionary contains around 60,000 English terms with their Spanish translations, making it one of the most comprehensive books of its kind. It offers a wide vocabulary from all areas as well as numerous idioms. The terms are translated from English to Spanish. If you need translations from Spanish to English, then the companion volume The Great Dictionary Spanish - English is recommended. |
| data science in spanish: The Great Dictionary Spanish - English Benjamin Maximilian Eisenhauer, This dictionary contains around 60,000 Spanish terms with their English translations, making it one of the most comprehensive books of its kind. It offers a wide vocabulary from all areas as well as numerous idioms. The terms are translated from Spanish to English. If you need translations from English to Spanish, then the companion volume The Great Dictionary English - Spanish is recommended. |
| data science in spanish: Learn Spanish News Vol.4 Nik Marcel, LEARN SPANISH NEWS Vol.4: English & Spanish THIS EDITION: The dual-language text has been arranged into sentences and shorter paragraphs for quick and easy cross-referencing. The source text is the Spanish language edition of Voice of America (VOA). The Spanish text has been translated into English for this dual-language project. The reader can choose between four formats: Section 1: English to Spanish Section 2: Spanish to English Section 3: English Section 4: Spanish A methodology for getting the most out of this bilingual format is explained in the book’s Foreword. The primary purpose of this text is to equip a foreign language learner with the ability to start reading news in the particular foreign language: to be able to read only in the foreign language, and extract enough understanding to continue the language learning process fruitfully this way. A reader might like to go back to reading dual-language news for reinforcement and further development, returning to foreign language only news with a deeper understanding. By going back to the same ‘old’ news, you are going over words, word patterns, and passages with which you already have a certain familiarity. The process of reinforcement, learning or retaining of what is new, and exposure to what is unfamiliar, is much easier this way — even though the news may seem a little dated. The aim of informing the reader about actual news is secondary, especially given that the content will become less current (and less relevant) over time. If you are having trouble with the level of difficulty in the text, a suggested path for learning languages is as follows: Familiarise yourself with a basic language instruction book — or re-read the one you have. Once a student has studied the basics, a suitable book about basic grammar can be helpful. The suggestion is that any grammar book be studied more with the intent of recognition and understanding, rather than memorising and obsessive rote learning. Go through as much of the grammar book you feel you can digest — maybe even the whole book — skipping over what is not easily understood. After this, read through a portion of text in a book called ‘Spanish Sentences’, by 2LanguageBooks, looking for examples of what you have picked up (or gleaned) in your hopefully not so arduous study of grammar. Even repeatedly seeing a word that you remember seeing listed as a ‘subject pronoun’ or a ‘third person plural’ verb of some sort is a great help. Then, depending on your inclination, return to the grammar book (or your basic Spanish book), or move on to lengthier bilingual text — like in 2Language Books texts containing news or stories, for example —, or find some suitable Spanish text: a simple novel, a Spanish news website, etc. Grammar books will likely have some verb charts. However, there are currently good on-line resources that go further — dictionaries with a verb conjugation ‘search’ option. Many basic language books offer some form of audio support. Internet services — primarily news based radio stations — offer podcasts. Audio from television is an additional resource, and can be formatted for use on various digital platforms. However, if audio is an important component of your interest in languages, electronic devices that support quality text-to-speech (TTS) will likely be appealing. With a library card, TTS technology (in a device that supports the relevant content), and the above mentioned resources, an entire language learning system is available for not much more than a cup of coffee! There is no substantial financial outlay to get you started. Furthermore, there are no additional ongoing fees (and updates), and there are no expiry dates on ‘premium’ content and resources. (A Dual-Language Book Project) 2Language Books |
| data science in spanish: The Routledge Handbook of Variationist Approaches to Spanish Manuel Díaz-Campos, 2021-10-12 The Routledge Handbook of Variationist Approaches to Spanish provides an up-to-date overview of the latest research examining sociolinguistic approaches to analyzing variation in Spanish. Divided into three sections, the book includes the most current research conducted in Spanish variationist sociolinguistics. This comprehensive volume covers phonological, morphosyntactic, social, and lexical variation in Spanish. Each section is further divided into subsections focusing on specific areas of language variation, highlighting the most salient and current developments in each subfield of Hispanic sociolinguistics. As such, this Handbook delves further into the details of topics relating to variation and change in Spanish than previous publications, with a focus on the symbolic sociolinguistic value of specific phenomena in the field. Encouraging readers to think critically about language variation, this book will be of interest to advanced undergraduate and graduate students, as well as researchers seeking to explore lesser-known areas of Hispanic sociolinguistics. The Routledge Handbook of Variationist Approaches to Spanish will be a welcome addition to specialists and students in the fields of linguistics, Hispanic linguistics, sociolinguistics, and linguistic anthropology. |
| data science in spanish: Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability Antonio J. Guevara Plaza, |
| data science in spanish: Advanced Data Science and Analytics with Python Jesus Rogel-Salazar, 2020-05-05 Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow-up to the topics discussed in Data Science and Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK, NetworkX and others. The model development is supported by the use of frameworks such as Keras, TensorFlow and Core ML, as well as Swift for the development of iOS and MacOS applications. Features: Targets readers with a background in programming, who are interested in the tools used in data analytics and data science Uses Python throughout Presents tools, alongside solved examples, with steps that the reader can easily reproduce and adapt to their needs Focuses on the practical use of the tools rather than on lengthy explanations Provides the reader with the opportunity to use the book whenever needed rather than following a sequential path The book can be read independently from the previous volume and each of the chapters in this volume is sufficiently independent from the others, providing flexibility for the reader. Each of the topics addressed in the book tackles the data science workflow from a practical perspective, concentrating on the process and results obtained. The implementation and deployment of trained models are central to the book. Time series analysis, natural language processing, topic modelling, social network analysis, neural networks and deep learning are comprehensively covered. The book discusses the need to develop data products and addresses the subject of bringing models to their intended audiences – in this case, literally to the users’ fingertips in the form of an iPhone app. About the Author Dr. Jesús Rogel-Salazar is a lead data scientist in the field, working for companies such as Tympa Health Technologies, Barclays, AKQA, IBM Data Science Studio and Dow Jones. He is a visiting researcher at the Department of Physics at Imperial College London, UK and a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK. |
| data science in spanish: Machine Learning for Business Analytics Galit Shmueli, Peter C. Bruce, Amit V. Deokar, Nitin R. Patel, 2023-03-08 Machine Learning for Business Analytics Machine learning—also known as data mining or data analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the seventh edition of Machine Learning for Business Analytics, and the first using RapidMiner software. This edition also includes: A new co-author, Amit Deokar, who brings experience teaching business analytics courses using RapidMiner Integrated use of RapidMiner, an open-source machine learning platform that has become commercially popular in recent years An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology. |
| data science in spanish: Current Catalog National Library of Medicine (U.S.), 1967 Includes subject section, name section, and 1968-1970, technical reports. |
| data science in spanish: Beyond Algorithms James Luke, David Porter, Padmanabhan Santhanam, 2022-05-30 With so much artificial intelligence (AI) in the headlines, it is no surprise that businesses are scrambling to exploit this exciting and transformative technology. Clearly, those who are the first to deliver business-relevant AI will gain significant advantage. However, there is a problem! Our perception of AI success in society is primarily based on our experiences with consumer applications from the big web companies. The adoption of AI in the enterprise has been slow due to various challenges. Business applications address far more complex problems and the data needed to address them is less plentiful. There is also the critical need for alignment of AI with relevant business processes. In addition, the use of AI requires new engineering practices for application maintenance and trust. So, how do you deliver working AI applications in the enterprise? Beyond Algorithms: Delivering AI for Business answers this question. Written by three engineers with decades of experience in AI (and all the scars that come with that), this book explains what it takes to define, manage, engineer, and deliver end-to-end AI applications that work. This book presents: Core conceptual differences between AI and traditional business applications A new methodology that helps to prioritise AI projects and manage risks Practical case studies and examples with a focus on business impact and solution delivery Technical Deep Dives and Thought Experiments designed to challenge your brain and destroy your weekends |
| data science in spanish: Humanities and Big Data in Ibero-America Ana Gallego Cuiñas, Daniel Torres-Salinas, 2023-11-20 La colección presenta trabajos interdisciplinares que hacen uso de herramientas no solo humanistas sino también digitales para proponer enfoques inéditos sobre Literatura, Lingüística, Teoría Crítica y Filosofía en el espacio multicultural iberoamericano del siglo XXI. Las tres principales líneas de investigación - los corpus lingüísticos digitalizados, la lingüística experimental, y la relación entre Literatura, Crítica y Big Data - combinan el análisis de datos con un pensamiento crítico que trasciende el dataísmo y abre nuevas perspectivas (biopolítica, feminista y decolonial) en las Humanidades Digitales. The series presents interdisciplinary studies harnessing humanistic as well as digital tools to offer innovative approaches to literary studies, linguistics, critical theory and philosophy in the multicultural Ibero-American space of the 21st century. Its three principal lines of research - digital linguistic corpora, experimental linguistics, and the relation between literature, critique and big data - combine data analysis with critical thinking that transcends mere dataism and opens new (biopolitical, feminist, decolonial...) perspectives within Digital Humanities. |
| data science in spanish: National Library of Medicine Current Catalog National Library of Medicine (U.S.), 1965 |
| data science in spanish: Data Science and Digital Business Fausto Pedro García Márquez, Benjamin Lev, 2019-01-04 This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers and researchers who want to understand big data and develop new skills that are necessary in the digital business, it not only discusses the latest research, but also presents case studies demonstrating the successful application of data in the digital business. |
| data science in spanish: Practical Statistics for Data Scientists Peter Bruce, Andrew Bruce, 2017-05-10 Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data |
| data science in spanish: Information Technology and Systems Álvaro Rocha, |
| data science in spanish: Data Science for Economics and Finance Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana, 2021 This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications. |
| data science in spanish: 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 in spanish: Real Data Resources for Teachers , 1995 |
| data science in spanish: Elgar Encyclopedia of Law and Data Science Comandé, Giovanni, 2022-02-18 This Encyclopedia brings together jurists, computer scientists, and data analysts to map the emerging field of data science and law for the first time, uncovering the challenges, opportunities, and fault lines that arise as these groups are increasingly thrown together by expanding attempts to regulate and adapt to a data-driven world. It explains the concepts and tools at the crossroads of the many disciplines involved in data science and law, bridging scientific and applied domains. Entries span algorithmic fairness, consent, data protection, ethics, healthcare, machine learning, patents, surveillance, transparency and vulnerability. |
| data science in spanish: 97 Things About Ethics Everyone in Data Science Should Know Bill Franks, 2020-08-06 Most of the high-profile cases of real or perceived unethical activity in data science arenâ??t matters of bad intent. Rather, they occur because the ethics simply arenâ??t thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically. Data science professionals, managers, and tech leaders will gain a better understanding of ethics through powerful, real-world best practices. Articles include: Ethics Is Not a Binary Conceptâ??Tim Wilson How to Approach Ethical Transparencyâ??Rado Kotorov Unbiased ≠ Fairâ??Doug Hague Rules and Rationalityâ??Christof Wolf Brenner The Truth About AI Biasâ??Cassie Kozyrkov Cautionary Ethics Talesâ??Sherrill Hayes Fairness in the Age of Algorithmsâ??Anna Jacobson The Ethical Data Storytellerâ??Brent Dykes Introducing Ethicizeâ?¢, the Fully AI-Driven Cloud-Based Ethics Solution!â??Brian Oâ??Neill Be Careful with Decisions of the Heartâ??Hugh Watson Understanding Passive Versus Proactive Ethicsâ??Bill Schmarzo |
| data science in spanish: Teaching English culture through CALL Oana Samson, Generally, in language teaching, the emphasis is on the development of four separate skills: listening comprehension, reading comprehension, writing, and speaking. However, language teachers and scholars often refer to a fifth skill, which is culture. It is difficult to imagine language teaching without referring in one way or another to the target culture; therefore, culture has always been present in the teaching process. But what does this skill imply and how should it be included into the teaching–learning process? Compared to grammar or vocabulary, culture is more difficult to define; therefore, it is not clear what and how it should be taught. “TEACHING ENGLISH CULTURE THROUGH C.A.L.L.” se adreseaza studentilor,cadrelor didactice inscrise la diverse examene de perfectionare sau interesate de alternative in predare.Lucrarea este unica prin multitudinea de situatii prezentate, abordarea unei teme de actualitate in contextul predarii prin intermediul calculatorului si al integrarii culturii in predarea limbii engleze precum si prin utilitatea planurilor de lectii ce insotesc partea aplicativa. |
| data science in spanish: British Qualifications 2017 Kogan Page Editorial, 2016-12-03 Now in its 47th edition, British Qualifications 2017 is the definitive one-volume guide to every qualification on offer in the United Kingdom. With an equal focus on vocational studies, this essential guide has full details of all institutions and organizations involved in the provision of further and higher education and is an essential reference source for careers advisors, students and employers. It also includes a comprehensive and up-to-date description of the structure of further and higher education in the UK. The book includes information on awards provided by over 350 professional institutions and accrediting bodies, details of academic universities and colleges and a full description of the current framework of academic and vocational education. It is compiled and checked annually to ensure accuracy of information. |
| data science in spanish: Data Scientist Diploma (master's level) - City of London College of Economics - 6 months - 100% online / self-paced City of London College of Economics, Overview This diploma course covers all aspects you need to know to become a successful Data Scientist. Content - Getting Started with Data Science - Data Analytic Thinking - Business Problems and Data Science Solutions - Introduction to Predictive Modeling: From Correlation to Supervised Segmentation - Fitting a Model to Data - Overfitting and Its Avoidance - Similarity, Neighbors, and Clusters Decision Analytic Thinking I: What Is a Good Model? - Visualizing Model Performance - Evidence and Probabilities - Representing and Mining Text - Decision Analytic Thinking II: Toward Analytical Engineering - Other Data Science Tasks and Techniques - Data Science and Business Strategy - Machine Learning: Learning from Data with Your Machine. - And much more Duration 6 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link. |
| data science in spanish: British Qualifications 2020 Kogan Page Editorial, 2019-12-03 Now in its 50th edition, British Qualifications 2020 is the definitive one-volume guide to every recognized qualification on offer in the United Kingdom. With an equal focus on both academic and professional vocational studies, this indispensable guide has full details of all institutions and organizations involved in the provision of further and higher education, making it the essential reference source for careers advisers, students, and employers. It also contains a comprehensive and up-to-date description of the structure of further and higher education in the UK, including an explanation of the most recent education reforms, providing essential context for the qualifications listed. British Qualifications 2020 is compiled and checked annually to ensure the highest currency and accuracy of this valuable information. Containing details on the professional vocational qualifications available from over 350 professional institutions and accrediting bodies, informative entries for all UK academic universities and colleges, and a full description of the current structural and legislative framework of academic and vocational education, it is the complete reference for lifelong learning and continuing professional development in the UK. |
| data science in spanish: Advances in Information Technology Research and Application: 2011 Edition , 2012-01-09 Advances in Information Technology Research and Application: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Information Technology. The editors have built Advances in Information Technology Research and Application: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Information Technology in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Information Technology Research and Application: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/. |
| data science in spanish: Princeton Review AP English Language & Composition Prep, 2021 The Princeton Review, 2020-09-22 Make sure you’re studying with the most up-to-date prep materials! Look for the newest edition of this title, The Princeton Review AP English Language & Composition Prep, 2022 (ISBN: 9780525570622, on-sale August 2021). Publisher's Note: Products purchased from third-party sellers are not guaranteed by the publisher for quality or authenticity, and may not include access to online tests or materials included with the original product. |
| data science in spanish: Princeton Review AP English Language & Composition Premium Prep, 2021 The Princeton Review, 2020-09-22 Make sure you’re studying with the most up-to-date prep materials! Look for the newest edition of this title, The Princeton Review AP English Language & Composition Premium Prep, 2022 (ISBN: 9780525570615, on-sale August 2021). Publisher's Note: Products purchased from third-party sellers are not guaranteed by the publisher for quality or authenticity, and may not include access to online tests or materials included with the original product. |
| data science in spanish: Spanish Second Language Acquisition Barbara Armstrong Lafford, M. Rafael Salaberry, 2003 This book is a reference that provides an overview of the major work done in Spanish second language acquisition. It contains a section on the major theoretical approaches (generative, cognitive, and sociocultural), a section on the major elements of language (phonemes, morphemes, tense, syntax, discourse, pragmatics), and a concluding chapter on the effects of different instructional approaches. We are publishing it primarily for its potential course use, but the quality of the contributors will also attract attention from scholars. |
| data science in spanish: Association of American Colleges Bulletin , 1921 Includes the Association's Proceedings. |
| data science in spanish: Aspects of Language Development in an Intensive English Program Alan Juffs, 2020-03-02 While there is much in the literature on ESL development, this book is the first of its kind to track the development of specific language abilities in an Intensive English Program (IEP) longitudinally and highlights the implications of this particular study’s findings for future IEP implementation and practice and ESL and SLA research. The volume draws on many years’ worth of data from learners at an IEP at the University of Pittsburgh to explore selected aspects of language development, including lexical, grammatical, speaking, and writing abilities, in addition to placement assessment practices and student learning outcomes. A concluding chapter points to the ways in which these findings can be applied to decision making around IEP curriculum development and the future role of IEPs in higher education more broadly. With its focus on students in IEP settings and the concentration on data from students evaluated over multiple semesters, this volume offers a unique opportunity in which to examine longitudinal developmental patterns of different L1 groups on a variety of measures from the same learners and will be key reading for students and researchers in second language acquisition, English for Academic Purposes, language education, and applied linguistics. |
| data science in spanish: More than a Glitch Meredith Broussard, 2023-03-14 When technology reinforces inequality, it’s not just a glitch—it’s a signal that we need to redesign our systems to create a more equitable world. The word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren’t just bugs in mostly functional machinery—what if they’re coded into the system itself? In the vein of heavy hitters such as Safiya Umoja Noble, Cathy O’Neil, and Ruha Benjamin, Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn’t to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future. |
| data science in spanish: Intelligent Decision Support Systems Miquel Sànchez-Marrè, 2022-03-28 This book, with invaluable contributions of Professor Franz Wotawa in chapters 5 and 7, presents the potential use and implementation of intelligent techniques in decision making processes involved in organizations and companies. It provides a thorough analysis of decisions, reviewing the classical decision theory, and describing usual methods for modeling the decision process. It describes the chronological evolution of Decision Support Systems (DSS) from early Management Information Systems until the appearance of Intelligent Decision Support Systems (IDSS). It explains the most commonly used intelligent techniques, both data-driven and model-driven, and illustrates the use of knowledge models in Decision Support through case studies. The author pays special attention to the whole Data Science process, which provides intelligent data-driven models in IDSS. The book describes main uncertainty models used in Artificial Intelligence to model inexactness; covers recommender systems; and reviews available development tools for inducing data-driven models, for using model-driven methods and for aiding the development of Intelligent Decision Support Systems. |
| data science in spanish: The Novel in the Spanish Silver Age José Calvo Tello, 2021-10-31 What distinguishes an adventure novel from a historical novel? Can the same text belong to several genres? More to one than to another? Have some existing genres been overlooked? To answer these and similar questions, José Calvo Tello combines methods from Linguistics (lexicography), Literary Studies (genre theory), and Computer Science (machine learning, natural language processing). Located in the interdisciplinary field of Digital Humanities, this study analyzes a newly developed corpus of 358 Spanish novels of the silver age (1880-1939), which includes authors like Baroja, Pardo Bazán, or Valle-Inclán. Calvo Tello's key result is a graph-based model of literary genre that reconciles recent theoretical approaches. |
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 minimum time …
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, released in …
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 from …
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 barriers …
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 collected, …
