Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
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Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies
Бр. на производ: 33588846

Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies

90% of respondents would recommend this to a friend

Бр. на производ: 33588846

MKD 5682

MKD 7118

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What Stands Out

Comprehensive Coverage
This edition offers an extensive exploration of machine learning concepts with algorithms and practical examples, ensuring readers gain a thorough understanding of predictive data analytics.
Real-World Case Studies
Featuring numerous case studies, this book bridges theory and practice, showcasing how machine learning algorithms are applied in real-world scenarios to solve complex data challenges.
Updated Content
The second edition incorporates the latest advancements in machine learning, providing readers with relevant, cutting-edge knowledge essential for mastering predictive analytics in today's data-driven landscape.

Детали за производот

Shop Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies online at a best price in North Macedonia. 0262044692
Publisher The MIT Press
Publication date October 20, 2020
Edition 2nd
Language English
Print length 856 pages
ISBN-10 0262044692
ISBN-13 978-0262044691
Item Weight 3.19 pounds (1.45 kg)
Dimensions 7.87 x 1.46 x 9.57 inches (20 x 3.7 x 24.3 cm)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Perfect for beginners seeking foundational knowledge in machine learning concepts, algorithms, and applications in data analytics.

  • Industry Professionals

    Useful for professionals wanting to enhance their analytical skills and apply machine learning techniques to real-world problems.

  • Academic Researchers

    Beneficial for researchers requiring comprehensive insights into machine learning methodologies and case studies for scholarly work.

Not Suitable For
  • Complete Beginners

    Not ideal for absolute novices as it assumes some prior knowledge of programming and statistical concepts.

ОПИС НА ПРОИЗВОД

Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies

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Intelligence & Semantics Editorial Review

This is a review for the book "0262044692". The book is recommended as it is easy to read and follow for those who have no mathematical background, but want to learn about machine learning. The book provides a solid basic foundation for more complex problems using machine learning, focusing on predictive analytics. The book covers machine learning models, their applications through case studies, and the business requirements for applying machine learning. The book does not provide any code but has thorough explanations of the theory behind the algorithms. The book is highly recommended for anyone exploring the field of data sciences.

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Добрите

  • Easy to read and follow
  • No mathematical background required
  • Covers machine learning models and their applications through case studies
  • Provides a solid basic foundation for more complex problems using machine learning
  • Thorough explanations of the theory behind the algorithms

Конс

  • Does not provide any code

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MKD 5682

MKD 7118

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