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Data Science: An Introduction to Statistics and Machine Learning
Item #: 123900186

Data Science: An Introduction to Statistics and Machine Learning

Item #: 123900186

CZK 1917

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What Stands Out

Comprehensive Coverage
This book provides an extensive introduction to both statistics and machine learning, ensuring that readers gain a well-rounded foundation for applying data science principles effectively across various fields.
Modern Techniques
Incorporating the latest advancements in data science, this edition empowers readers with up-to-date methods and practices, preparing them for current industry standards and challenges in data analysis.
Practical Examples
Rich with practical examples, the book connects theoretical concepts to real-world applications, enhancing reader understanding and boosting confidence in utilizing data science tools and techniques effectively.

Product Details

Shop Data Science: An Introduction to Statistics and Machine Learning online at a best price in Czech Republic. 3662678810
Publisher Springer
Publication date September 1, 2023
Edition 1st ed. 2023
Language English
Print length 385 pages
ISBN-10 3662678810
ISBN-13 978-3662678817
Item Weight 1.28 pounds (580 grams)
Dimensions 6.1 x 0.88 x 9.25 inches (15.5 x 2.2 x 23.5 cm)

Who Should Buy?

Suitable For
  • Beginners in Data Science

    Ideal for those new to data science, providing foundational concepts in statistics and machine learning clearly.

  • Students in Academia

    Great resource for university students studying data science, statistics, or related fields, offering structured learning materials.

  • Professionals Transitioning Careers

    Suitable for professionals moving into data science roles, offering practical applications of statistical techniques and machine learning.

Not Suitable For
  • Advanced Practitioners

    Not ideal for seasoned data scientists seeking advanced methodologies or in-depth explorations of complex algorithms.

Product Description

Data Science: An Introduction to Statistics and Machine Learning

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Pros

  • Comprehensive coverage of topics
  • User-friendly explanations
  • Real-world examples included
  • Great for beginners and experts
  • Up-to-date with latest trends

Cons

  • Some advanced topics might be brief.

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