200 rezultatov
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D3.js in Action, 2E(2017) MEEKS, ELIJAHKey Features: · Completely revised and updated · Practical tutorial · In-depth explanations Readers need basic HTML, CSS, and JavaScript skills. No experience with D3 or SVG is required.Vezava: Mehka65,92 € -
Introduction to Spatial Data Analysis(2020) WEGMANN, MARTIN,SCHWALB-WILLMANN, JAKOB,DECH, STEFANReaders will learn the essentials of spatial data handling using the open source software QGIS and be guided through the first steps in using the R programming language. The book includes the fundamentals of spatial data handling and analysis, working witVezava: Mehka74,83 € -
Exploring Big Historical Data: The Historian's Macroscope(2022) GRAHAM, SHAWN (CARLETON UNIVERSITY, CANADA),MILLIGAN, IAN (UNIVERSITY OF WATERLOO, CANADA),WEINGART, SCOTT B (UNIVERSITY OF NOTRE DAME, USA),MARTIN, KIM (UNIVERSITY OF GUELPH, CANADA)Vezava: Mehka68,91 € -
Between the Spreadsheets(2021) WALSH, SUSAN'Almost anyone can improve the quality of their data using this book as a prompt/guide’- Customer Insight LeaderVezava: Mehka83,50 € -
Future of Enriched, Linked, Open and Filtered Metadata(2022) ALEMU, GETANEHThis practical book uses simple and accessible language to make sense of the many existing and emerging metadata standards, models and approaches.Vezava: Mehka124,69 € -
Database Principles(2020) CORONEL, CARLOS (MIDDLE TENNESSEE STATE UNIVERSITY),MORRIS, STEVEN (MIDDLE TENNESSEE STATE UNIVERSITY),CROCKETT, KEELEY (MANCHESTER METROPOLITAN UNIVERSITY),BLEWETT, CRAIG (UNIVERSITY OF KWAZULU-NATAL)Vezava: Mehka120,84 € -
BTEC Nationals Information Technology Student Book + Activebook(2016) PHILLIPS, JENNY,JARVIS, ALAN,FISHPOOL, MARK,MCGILL, RICHARD,COOK, TIM,ATKINSON-BEAUMONT, DAVID63,25 € -
Agent-Based and Individual-Based Modeling - A Practical Introduction, Second Edition(2019) STEVEN F. RAILSBACKVezava: Trda101,15 € -
Applying Predictive Analytics(2021) MCCARTHY, RICHARD V.,MCCARTHY, MARY M.,CECCUCCI, WENDYThe new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus on using analytics to solve business problems and compares several different modeling techniques, all explained fromVezava: Trda99,52 € -
First Course in Random Matrix Theory(2020) POTTERS, MARC,BOUCHAUD, JEAN-PHILIPPEClassical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real worldVezava: Trda110,25 € -
Statistics, Data Mining, and Machine Learning in Astronomy(2019) IVEZIC, ZELJKO,CONNOLLY, ANDREW J.,VANDERPLAS, JACOB T.,GRAY, ALEXANDERStatistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark EnVezava: Trda113,01 € -
Big Data, Little Data, No Data(2017) BORGMAN, CHRISTINE L. (PROFESSOR AND PRESIDENTIAL CHAIR, UNIVERSITY OF CALIFORNIA, LOS ANGELES)Vezava: Mehka46,86 € -
Humanities Data Analysis(2021) KARSDORP, FOLGERT,KESTEMONT, MIKE,RIDDELL, ALLENA practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterVezava: Trda74,37 € -
First Course in Machine Learning(2020) ROGERS, SIMON (UNIVERSITY OF GLASGOW, UNITED KINGDOM),GIROLAMI, MARK (UNIVERSITY COLLEGE LONDON, UNITED KINGDOM)The new edition of this popular, undergraduate textbook has been revised and updated to reflect current growth areas in Machine Learning. The new edition includes three new chapters with more detailed discussion of Markov Chain Monte Carlo techniques, ClaVezava: Mehka80,49 € -
Big Data(2017) HOLMES, DAWN E. (FACULTY MEMBER, DEPARTMENT OF STATISTICS AND APPLIED PROBABILITY, UNIVERSITY OF CALIFORNIA, SANTA BARBARA)An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technolVezava: Mehka14,01 € -
Data Architecture: A Primer for the Data Scientist(2019) INMON, W.H. (INMON DATA SYSTEMS, CASTLE ROCK, CO, USA),LINSTEDT, DANIEL (FOUNDER AND PRINCIPAL OF EMPOWERED HOLDINGS, LLC, ST. ALBANS, VT, USA),LEVINS, MARY (SIERRA CREEK CONSULTING LLC, DACULA, GA, USA)Vezava: Mehka90,22 €
