Verlag: Data Analytics Curriculum, 2025
ISBN 10: 1969233176 ISBN 13: 9781969233173
Sprache: Englisch
Anbieter: California Books, Miami, FL, USA
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Verlag: Data Analytics Curriculum, 2025
ISBN 10: 1969233176 ISBN 13: 9781969233173
Sprache: Englisch
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Verlag: Data Analytics Curriculum, 2025
ISBN 10: 1969233176 ISBN 13: 9781969233173
Sprache: Englisch
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Verlag: Data Analytics Curriculum, 2025
ISBN 10: 1969233176 ISBN 13: 9781969233173
Sprache: Englisch
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Verlag: Data Analytics Curriculum, 2025
ISBN 10: 1969233176 ISBN 13: 9781969233173
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 55,66
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master text analytics and natural language processing-one lab at a time.This lab-based workbook is your no-fluff, beginner-friendly path to learning text analytics and NLP using real R code. You'll work hands-on with real data and clear examples as you move from tokenization and stopword removal to sentiment analysis, topic modeling, classification, embeddings, and more.Each lab walks you through the entire process-installing packages, running code, understanding output-without assuming any prior programming experience. Whether you're a student, instructor, or data-curious learner, this book helps you build real skills in text mining and natural language processing using R and RStudio.If you want to learn by doing, not just reading, this is your starting point.Extensive resources and supplements are available from the publisher (code, data, slides and more) for teaching and self study.
Verlag: Data Analytics Curriculum
ISBN 10: 1969233184 ISBN 13: 9781969233180
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 98,53
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbBuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master text analytics and natural language processing-one lab at a time.This lab-based workbook is your no-fluff, beginner-friendly path to learning text analytics and NLP using real R code. You'll work hands-on with real data and clear examples as you move from tokenization and stopword removal to sentiment analysis, topic modeling, classification, embeddings, and more.Each lab walks you through the entire process-installing packages, running code, understanding output-without assuming any prior programming experience. Whether you're a student, instructor, or data-curious learner, this book helps you build real skills in text mining and natural language processing using R and RStudio.If you want to learn by doing, not just reading, this is your starting point.Extensive resources and supplements are available from the publisher (code, data, slides and more) for teaching and self study.