203,03 €
225,59 €
-10% with code: EXTRA
Models Demystified
Models Demystified
203,03
225,59 €
  • We will send in 10–14 business days.
In this comprehensive guide, we delve into the world of data science, machine learning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced machine learning algorithms, this book covers a wide range of topics, ensuring that readers at all levels can benefit from its content. Each chapter is meticulously crafted to offer clear explanations, hands-on examples, and code snippets in both Python an…
225.59
  • Publisher:
  • ISBN-10: 1032582588
  • ISBN-13: 9781032582580
  • Format: 15.6 x 23.4 x 2.7 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Models Demystified (e-book) (used book) | Michael Clark | bookbook.eu

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In this comprehensive guide, we delve into the world of data science, machine learning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced machine learning algorithms, this book covers a wide range of topics, ensuring that readers at all levels can benefit from its content. Each chapter is meticulously crafted to offer clear explanations, hands-on examples, and code snippets in both Python and R, making complex concepts accessible and actionable. Additional focus is placed on model interpretation and estimation, common data issues, modeling pitfalls to avoid, and best practices for modeling in general.

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  • Author: Michael Clark
  • Publisher:
  • ISBN-10: 1032582588
  • ISBN-13: 9781032582580
  • Format: 15.6 x 23.4 x 2.7 cm, kieti viršeliai
  • Language: English English

In this comprehensive guide, we delve into the world of data science, machine learning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced machine learning algorithms, this book covers a wide range of topics, ensuring that readers at all levels can benefit from its content. Each chapter is meticulously crafted to offer clear explanations, hands-on examples, and code snippets in both Python and R, making complex concepts accessible and actionable. Additional focus is placed on model interpretation and estimation, common data issues, modeling pitfalls to avoid, and best practices for modeling in general.

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