91,96 €
108,19 €
Introduction to Data Science
Introduction to Data Science
91,96 €
108,19 €
  • Išsiųsime per 10–14 d.d.
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 dat…
91.96 2025-07-06 23:59:00
  • Autorius: Laura Igual
  • Leidėjas:
  • ISBN-10: 3031489551
  • ISBN-13: 9783031489556
  • Formatas: 15.6 x 23.4 x 1.4 cm, minkšti viršeliai
  • Kalba: Anglų
  • Extra -15 % nuolaida šiai knygai su kodu: ENG15

Introduction to Data Science + nemokamas atvežimas! | knygos.lt

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Aprašymas

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 science
  • Reviews 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.

EXTRA 15 % nuolaida

NEMOKAMAS PRISTATYMAS
91,96 €
108,19 €
Išsiųsime per 10–14 d.d.

Kupono kodas: ENG15

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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 science
  • Reviews 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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