Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models Paperback
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Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models Paperback
Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms.
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models Paperback
Stavka #: 185384622

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models Paperback

Stavka #: 185384622

€ 45

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Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms.
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What Stands Out

Expert Techniques
Offers advanced strategies for implementing and fine-tuning algorithms, ensuring users can elevate their machine learning models to meet specific project requirements and industry standards.
Comprehensive Guidance
Covers a broad range of popular algorithms with step-by-step instructions, making complex concepts accessible for learners at all levels and enhancing their data science skillset.
Practical Applications
Includes real-world examples and case studies, demonstrating how to apply machine learning algorithms effectively, thus bridging the gap between theory and practice for better understanding.

Detalji o proizvodu

Shop Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models Paperback online at a best price in Croatia. 154418313
Manual & guide typeInstruction Manual
Book formatPaperback
Skill levelExpert
Pages576
LanguageEnglish
BrandGiuseppe-Bonaccorso
AuthorGiuseppe Bonaccorso
GenreEducation
Bisac subject headingComputers
Height9.25 in (23.5 cm)
Original languagesEnglish
Item Weight1 lbs (450 grams)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    This book is ideal for beginners aiming to understand and implement machine learning algorithms effectively.

  • Intermediate Practitioners

    Experienced users looking to deepen their knowledge and fine-tune their machine learning models will find valuable insights.

  • Academic Professionals

    Researchers and educators can utilize this book to support their curriculum and enhance teaching methods in machine learning.

Not Suitable For
  • Absolute Beginners

    Those with no prior knowledge of programming or statistics may find the material too advanced and challenging to grasp.

  • Casual Learners

    Individuals looking for a light introduction to machine learning may prefer more beginner-friendly resources than this book.

  • Specialized Experts

    Advanced practitioners might not find sufficient depth in specialized areas of machine learning covered by this book.

OPIS PROIZVODA

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models Paperback

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Pitanja i odgovori kupaca

  • pitanje: Is this book suitable for beginners?

    odgovor: A basic knowledge of machine learning is preferred to get the best out of this guide.
  • pitanje: Does the book cover the latest tools?

    odgovor: Yes, the updated second edition covers TensorFlow 2.x and Python 3.8.
  • pitanje: Who is the target audience for this book?

    odgovor: This book is targeted at data science professionals who want to learn about complex machine learning algorithms.

Giuseppe Bonaccorso Data Modeling & Design Books Editorial Review

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Značajke i prednosti

  • Comprehensive guide to mastering machine learning algorithms.
  • Covers popular techniques for supervised, unsupervised, and semi-supervised learning.
  • Learn to optimize and evaluate your models effectively.
  • Includes implementation using Python libraries like scikit-learn and TensorFlow.
  • Ideal for data science professionals looking to enhance their skills.
  • Updated edition with the latest advancements and techniques in machine learning.

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