Machine Learning Refined: Foundations, Algorithms, and Applications
With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products.
Machine Learning Refined: Foundations, Algorithms, and Applications
Numéro d'article: 175468337

Machine Learning Refined: Foundations, Algorithms, and Applications

Numéro d'article: 175468337

XAF 61052

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With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products.
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Ce qui se démarque

Comprehensive Overview
Covers foundational concepts, diverse algorithms, and their applications, making it a vital resource for both beginners and experienced practitioners looking to deepen their understanding of machine learning.
Practical Insights
Includes real-world examples and case studies that bridge theory and practice, helping readers apply machine learning techniques effectively in various domains and industries.
Expert Authorship
Authored by leading experts in the field, assuring readers of high-quality content that reflects the latest advancements and best practices in machine learning.

Détails du produit

Shop Machine Learning Refined: Foundations, Algorithms, and Applications online at a best price in Cameroon. 1108480721
Publisher Cambridge University Press
Publication date 9 Jan. 2020
Edition 2nd
Language English
Print length 594 pages
ISBN-10 1108480721
ISBN-13 978-1108480727
Item weight 1.36 kg
Dimensions 17.15 x 3.18 x 24.77 cm

À qui est-ce destiné ?

Suitable For
  • Data Scientists

    Ideal for professionals seeking a comprehensive understanding of machine learning concepts, algorithms, and practical applications.

  • Students

    Perfect for university students in computer science or data science programs wanting foundational knowledge in machine learning.

  • Industry Professionals

    Beneficial for business analysts or engineers looking to implement machine learning solutions in real-world scenarios.

Not Suitable For
  • Beginners

    Not suitable for those with no background in programming or data science, as it may be overwhelming.

DESCRIPTION DU PRODUIT

Machine Learning Refined: Foundations, Algorithms, and Applications

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Questions et réponses des clients

  • question: What type of examples are included in the book?

    répondre: Examples are included from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology.
  • question: What online resources are provided?

    répondre: A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online.
  • question: Who is the target audience for this book?

    répondre: This book is ideal for graduate courses on machine learning and for individual reference and self-study.

Higher Education Editorial Review

Machine Learning Refined Foundations, Algorithms, And Applications offers a comprehensive 2nd edition published by Cambridge University Press. With 594 pages of in-depth exploration, it delves into various machine learning algorithms and their practical applications. The book is well-structured, making complex concepts accessible to readers. It is printed in English and has received positive feedback for its clarity and thoroughness, making it an essential resource for both students and professionals interested in the field of machine learning.

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Avantages

  • Comprehensive coverage of algorithms and applications
  • Well-structured and easy to understand
  • Suitable for both students and professionals
  • Thorough exploration of machine learning concepts
  • High-quality publication from a reputable publisher

Les inconvénients

  • Some readers may find it quite dense to read.

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