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Introduction to Data Science A Python Approach to Concepts, Techniques and Applications /

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This textbook 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 applic...

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Autori principali: Igual, Laura (Autore), Seguí, Santi (Autore)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer International Publishing : Imprint: Springer, 2024.
Edizione:2nd ed. 2024.
Serie:Undergraduate Topics in Computer Science,
Soggetti:
Artificial intelligence > Data processing.
Data mining.
Python (Computer program language).
Artificial intelligence.
Data Science.
Data Mining and Knowledge Discovery.
Python.
Artificial Intelligence.
Accesso online:https://doi.org/10.1007/978-3-031-48956-3
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Sommario:
  • 1. Introduction to Data Science
  • 2. Toolboxes for Data Scientists
  • 3. Descriptive statistics
  • 4. Statistical Inference
  • 5. Supervised Learning
  • 6. Regression Analysis
  • 7. Unsupervised Learning
  • 8. Network Analysis
  • 9. Recommender Systems
  • 10. Statistical Natural Language Processing for Sentiment Analysis
  • 11. Parallel Computing.

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