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Introduction to Data Science

- A Python Approach to Concepts, Techniques and Applications
Af: Laura Igual, Santi Segui Engelsk Paperback

Introduction to Data Science

- A Python Approach to Concepts, Techniques and Applications
Af: Laura Igual, Santi Segui Engelsk Paperback
Tjek vores konkurrenters priser
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data scienceReviews a range of applications of data science, including recommender systems and sentiment analysis of text data Provides supplementary code resources and data at an associated website This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses.
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Tjek vores konkurrenters priser
Normalpris
kr 431
Fragt: 39 kr
6 - 8 hverdage
20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data scienceReviews a range of applications of data science, including recommender systems and sentiment analysis of text data Provides supplementary code resources and data at an associated website This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 246
ISBN-13: 9783031489556
Indbinding: Paperback
Udgave:
ISBN-10: 3031489551
Kategori: Ekspert - og vidensbaserede systemer
Udg. Dato: 13 apr 2024
Længde: 19mm
Bredde: 234mm
Højde: 155mm
Forlag: Springer International Publishing AG
Oplagsdato: 13 apr 2024
Forfatter(e): Laura Igual, Santi Segui
Forfatter(e) Laura Igual, Santi Segui

Kategori Ekspert - og vidensbaserede systemer

ISBN-13 9783031489556

Sprog Engelsk

Indbinding Paperback

Sider 246

Udgave

Længde 19mm

Bredde 234mm

Højde 155mm

Udg. Dato 13 apr 2024

Oplagsdato 13 apr 2024

Forlag Springer International Publishing AG

Kategori sammenhænge