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8301Publicado 2011Materias:Libro electrónico
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8302
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8303Publicado 2017“…Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. …”
Libro electrónico -
8304Publicado 2017Tabla de Contenidos: “…I. Data science with Hadoop : an overview. Introduction to data science ; Use cases for data science ; Hadoop and data science -- II. …”
Libro electrónico -
8305Publicado 2016Tabla de Contenidos: “…Front Cover -- Perspectives on Data Science for Software Engineering -- Copyright -- Contents -- Contributors -- Acknowledgments -- Introduction -- Perspectives on data science for software engineering -- Why This Book? …”
Libro electrónico -
8306Publicado 2016“…Basic experience with data science implementation tasks is expected. Data science professionals looking to skill up and gain an edge in the field will find this book helpful. …”
Libro electrónico -
8307Materias:Libro electrónico
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8308Publicado 2017Tabla de Contenidos: “…Front Cover -- Cognitive Information Systems in Management Sciences -- Copyright Page -- Contents -- Biography -- Foreword by Prof. …”
Libro electrónico -
8309
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8310Publicado 2018“…It gives you the complete skillset to tackle any new data science project with confidence and critically assess your work and other people's. …”
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8311Publicado 2019“…Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. …”
Libro electrónico -
8312por de Graaf, Robert. authorTabla de Contenidos: “…Chapter 1: Data Science Team Strategy -- Chapter 2: Data Science Strategy for Projects -- Chapter 3: Data Science Sales Technique -- Chapter 4: Believable Models -- Chapter 5: Reliable Models -- Chapter 6: Promoting Your Data Science Work -- Chapter 7: Team Efficiency -- Chapter 8: Afterword…”
Publicado 2019
Libro electrónico -
8313Publicado 2014Tabla de Contenidos: “…Reflections on a statistical career and their implications; 10. Science mixes it up with statistics; 11. Lessons from a twisted career path; 12. …”
Libro electrónico -
8314Publicado 2015“…This volume brings together important new research in decision science, capturing the crucial role of local context in a globalized, standardized world. …”
Libro electrónico -
8315Publicado 2013Tabla de Contenidos: “…Front Cover; Contents; Preface; Acknowledgments; 1: Introduction to Research in Social and Behavioral Sciences; 2: Introduction to Nonparametric Statistics; 3: Analysis of Data to Determine Association and Agreement; 4: Analyses for Two Independent Samples; 5: Analyses of Multiple Independent Samples; 6: Analyses of Two Dependent Samples; 7: Tests for Multiple Related Samples; 8: Analyses of Single Samples; Back Cover…”
Libro electrónico -
8316Publicado 2015“…The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. …”
Libro electrónico -
8317Publicado 2014“…In this webcast, we'll demonstrate doing scalable data science using GraphLab Create, an end-to-end platform for prototyping and deploying data products. …”
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8318por International Conference on Environmental Science and Information Application TechnologyMaterias: “…Environmental sciences Data processing Congresses…”
Publicado 2015
Libro electrónico -
8319Publicado 2015Tabla de Contenidos: “…Front Cover; Contents; Preface; Acknowledgments; About the Editors; List of Contributors; Chapter 1: Evaluation Criteria to Run Scientific Applications in the Cloud; Chapter 2: Cloud-Based Infrastructure for Data-Intensive e-Science Applications: Requirements and Architecture; Chapter 3: Securing Cloud Data; Chapter 4: Adaptive Execution of Scientific Workflow Applications on Clouds; Chapter 5: Migrating e-Science Applications to the Cloud: Methodology and Evaluation; Chapter 6: Closing the Gap between Cloud Providers and Scientific Users…”
Libro electrónico -
8320Publicado 2015“…In this Data Science with Microsoft Azure and R training course, expert author Stephen Elston will teach you how to develop and deploy effective machine learning models in the Microsoft Azure Machine Learning (ML) environment. …”