Think Bayes: Bayesian Statistics in Python
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Think Bayes: Bayesian Statistics in Python
With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation.
Think Bayes: Bayesian Statistics in Python
Articolo #: 3502111

Think Bayes: Bayesian Statistics in Python

Articolo #: 3502111

€ 43

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Ordina subito e indossalo Giovedì, Luglio 30
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With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation.
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Cosa salta all'occhio

Cobertura Integral
Offers an extensive introduction to Bayesian statistics using Python, making it suitable for both beginners and experienced practitioners seeking to deepen their understanding.
Practical Examples
Includes numerous hands-on examples and exercises, allowing readers to apply Bayesian concepts in real-world scenarios and enhance their programming skills in Python.
Accesible Aprendizaje
Written in a clear and engaging style, the book simplifies complex topics, making Bayesian statistics approachable for those without a strong mathematical background.

Dettagli del prodotto

Shop Think Bayes: Bayesian Statistics in Python online at a best price in San Marino. 1449370780
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A chi è consigliato?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to deepen their understanding of Bayesian statistics and implement models in Python.

  • Statistics Students

    Great resource for students studying statistics, offering practical examples and hands-on coding exercises in Python.

  • Machine Learning Enthusiasts

    Beneficial for ML practitioners interested in incorporating Bayesian methods into their algorithms for better predictive modeling.

Not Suitable For
  • Beginners in Stats

    Not suitable for beginners without a foundational understanding of statistics, as it dives deeply into complex concepts.

  • Non-Technical Users

    Individuals without a programming background may struggle with the Python coding examples included throughout the book.

  • Advanced Statisticians

    Experienced statisticians may find the material too basic and not comprehensive enough for advanced applications or research.

DESCRIZIONE DEL PRODOTTO

Think Bayes: Bayesian Statistics in Python

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Domande e risposte dei clienti

  • domanda: Do I need advanced mathematics to understand this book?

    Rispondere: No, a basic understanding of probability is sufficient.
  • domanda: What programming skills do I need before starting this book?

    Rispondere: Familiarity with Python programming is required.
  • domanda: Can I apply what I learn to real-world problems?

    Rispondere: Yes, the book emphasizes practical applications of Bayesian statistics.

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€ 43

Ordina subito e indossalo Giovedì, Luglio 30

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Caratteristiche e benefici

  • Designed for Python programmers with a basic understanding of probability.
  • Focuses on solving statistical problems through code rather than complex math.
  • Covers Bayesian fundamentals clearly through practical examples.
  • Teaches computational methods for real-world applications.
  • Includes engaging examples like Dungeons & Dragons and sports.
  • Ideal for beginners looking to dive into Bayesian statistics.

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