Probability and Statistics for Computer Science
Probability and Statistics for Computer Science provides a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.
Probability and Statistics for Computer Science
Nº de artículo: 73194537

Probability and Statistics for Computer Science

Nº de artículo: 73194537

BOB 642

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Probability and Statistics for Computer Science provides a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.
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What Stands Out

Comprehensive Coverage
Covers essential probability and statistics concepts tailored for computer science applications, ensuring learners acquire relevant skills for data analysis, machine learning, and algorithm development.
Practical Examples
Incorporates real-world examples and projects, bridging theoretical concepts with practical implementation, enhancing students' understanding and application of statistical methods in computing.
Accessible Format
Designed for a diverse audience, the book simplifies complex theories and includes illustrations, making advanced statistical concepts approachable for students with varying backgrounds.

Detalles de producto

Shop Probability and Statistics for Computer Science online at a best price in Bolivia. 3319644092
Publisher Springer
Publication date February 20, 2018
Edition 2018th
Language English
Print length 391 pages
ISBN-10 3319644092
ISBN-13 978-3319644097
Item Weight 3.1 pounds (1.41 kg)
Dimensions 8.27 x 1.03 x 10.98 inches (21 x 2.6 x 27.9 cm)

Who Should Buy?

Suitable For
  • Computer Science Students

    Ideal for students studying computer science nuances in probability and statistics for algorithmic and data analysis.

  • Data Analysts

    Great resource for data analysts looking to strengthen their statistical foundation and understanding for data interpretation.

  • Machine Learning Enthusiasts

    Highly beneficial for those entering machine learning, providing insights into probability models and statistical methodologies.

Not Suitable For
  • Complete Beginners

    Individuals with no prior knowledge of statistics may struggle with the concepts without foundational background.

DESCRIPCIÓN DEL PRODUCTO

Probability and Statistics for Computer Science

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Probability & Statistics Editorial Review

Probability and Statistics for Computer Science is a comprehensive resource published by Springer on February 20, 2018. This 2018 edition covers essential probability and statistical concepts tailored for computer science applications, making it an ideal choice for students and professionals alike. With a substantial print length of 391 pages, it offers a deep dive into the subject matter, emphasizing practical uses in computing. The book's dimensions of 8.27 x 1.03 x 10.98 inches ensure that it's a manageable size for readers. Overall, it serves as a valuable text for anyone looking to strengthen their understanding of these core topics in computer science.

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ventajas

  • In-depth coverage of statistical concepts
  • Practical examples for computer science
  • Well-structured and easy to follow
  • Recent publication ensures updated content
  • Suitable for students and professionals

Contras

  • Some complex topics may require additional reading

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