68 rezultatov
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Fundamentals of Data Engineering(2022) REIS, JOEWith this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.Vezava: Mehka vezava82,08 € -
Handbook of Research on Text and Web Mining Technologies(2008)Text mining, a variation of data mining, extracts desired information from large, unstructured text collections stored in electronic forms. This book covers the state of research in the field of text mining. It also offers cross-referencing of key terms,Vezava: Trda421,90 € -
Genome-Scale Algorithm Design(2023) MAKINEN, VELI (UNIVERSITY OF HELSINKI),BELAZZOUGUI, DJAMAL (CENTRE DE RECHERCHE SUR L’INFORMATION SCIENTIFIQUE ET TECHNIQUE (CERIST), ALGIERS),CUNIAL, FABIO (BROAD INSTITUTE, MASSACHUSETTS),TOMESCU, ALEXANDRU I. (UNIVERSITY OF HELSINKI)Guided by standard bioscience workflows in high-throughput sequencing analysis, this book for graduate students, researchers, and professionals in bioinformatics and computer science offers a unified presentation of genome-scale algorithms. This new editiVezava: Trda93,27 € -
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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: Mehka80,72 € -
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Predictive Models for Decision Support in the COVID-19 Crisis(2020) MARQUES, JOAO ALEXANDRE LOBO,GOIS, FRANCISCO NAUBER BERNARDO,XAVIER-NETO, JOSE,FONG, SIMON JAMESThis book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive modVezava: Mehka52,47 € -
Big Data, Little Data, No Data(2017) BORGMAN, CHRISTINE L. (PROFESSOR AND PRESIDENTIAL CHAIR, UNIVERSITY OF CALIFORNIA, LOS ANGELES)Vezava: Mehka45,29 € -
Model-Based Clustering and Classification for Data Science(2019) BOUVEYRON, CHARLES,CELEUX, GILLES,MURPHY, T. BRENDAN (UNIVERSITY COLLEGE DUBLIN),RAFTERY, ADRIAN E. (UNIVERSITY OF WASHINGTON)This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and predictioVezava: Trda118,72 € -
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Practical AI for Business Leaders, Product Managers, and Entrepreneurs(2022) ESSA, ALFRED,MOJARAD, SHIRINVezava: Mehka67,53 € -
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Core Data Analysis: Summarization, Correlation, and Visualization(2019) MIRKIN, BORISVezava: Mehka83,95 € -
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97 Things Every Data Engineer Should Know(2021) MACEY, TOBIASWith this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, StitchFix, Microsoft and Capital One share their experieVezava: Mehka55,57 € -
Semantic Modeling for Data(2020) ALEXOPOULOS, PANOSIn this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You’ll learn how to master this craft to increase the usability and value of your daVezava: Mehka92,35 €
