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Introduction to Data Science

Name: Introduction to Data Science
Brand: Springer, Berlin
SKU: 9783031489556
Price: 1120 CZK
Availability: InStock

A Python Approach to Concepts, Techniques and Applications

Autor: Laura Igual, Santi Seguí, Jordi Vitrià, Eloi Puertas, Petia Radeva, Oriol Pujol, Sergio Escalera, Francesc Dantí, Lluís Garrido

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

1 120 Kč

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals...

Informace o knize

Autor

Laura Igual, Santi Seguí, Jordi Vitrià, Eloi Puertas, Petia Radeva, Oriol Pujol, Sergio Escalera, Francesc Dantí, Lluís Garrido

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2024

Stránek

245

EAN

9783031489556

Enbook ID

44572220

Vydavatel

Springer, Berlin

Hmotnost

416

Rozměry

155 x 235

Kompletní popis

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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Introduction to Data Science

A Python Approach to Concepts, Techniques and Applications

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