Mathematics for Machine Learning
This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites
Mathematics for Machine Learning
منتج #: 107702167

Mathematics for Machine Learning

منتج #: 107702167

EGP 7010

تفاصيل السعر

باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )

*سيتم استيراد جميع العناصر من المملكة المتحدة

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This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites
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مايفيد

Comprehensive Coverage
This book provides an in-depth exploration of essential mathematical concepts for machine learning, ensuring readers gain a thorough understanding of underlying principles needed to excel.
Practical Applications
Each chapter connects theoretical mathematics to real-world machine learning applications, helping readers apply concepts effectively, bridging the gap between theory and practice.
Accessible Style
Written with clarity and precision, this hardcover edition caters to both beginners and experienced practitioners, making complex topics more approachable while maintaining rigorous academic standards.

تفاصيل المنتج

Shop Mathematics for Machine Learning online at a best price in مصر. 1108470041
  • Covers fundamental mathematical tools essential for understanding machine learning
  • Integrates mathematical concepts with machine learning methods like linear regression, principal component analysis, etc.
  • Helps bridge the gap between mathematical and machine learning texts
  • Suitable for data science, computer science students, or professionals
  • Includes worked examples, exercises, and programming tutorials for practical understanding
  • Provides a self-contained approach with minimal prerequisites
Publisher Cambridge University Press
Publication date 23 April 2020
Language English
Print length 390 pages
ISBN-10 1108470041
ISBN-13 978-1108470049
Item weight 980 g
Dimensions 17.78 x 2.82 x 25.4 cm
Part of series Studies in Natural Language Processing

من يجب أن يشتري؟

Suitable For
  • Aspiring Data Scientists

    Those looking to build a solid foundation in mathematics essential for data science and machine learning applications.

  • Graduate Students

    Perfect for graduate studies where a rigorous understanding of mathematical concepts relevant to machine learning is required.

  • Industry Professionals

    Professionals transitioning into machine learning roles who need to refresh or enhance their mathematical skills for practical application.

Not Suitable For
  • Beginner Learners

    Complete beginners in mathematics may struggle with the advanced concepts presented without prior foundational knowledge.

وصف المنتج

Mathematics for Machine Learning

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أسئلة العملاء & الإجابات

  • سؤال: What topics are covered in the textbook?

    إجابه: The textbook covers linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability, and statistics.
  • سؤال: Who is the textbook suitable for?

    إجابه: The textbook is suitable for students and professionals with a mathematical background or those learning the mathematics for the first time.
  • سؤال: Are there any additional resources offered?

    إجابه: Yes, programming tutorials are offered on the book's website.

مراجعة تحريرية

Mathematics For Machine Learning is an essential guide published by Cambridge University Press that elegantly bridges the gap between mathematical principles and their application in machine learning. The book, consisting of 390 pages, is crafted for those with a basic understanding of algebra, statistics, and calculus, making it ideal for high school graduates eager to delve into the intricacies of machine learning. Readers appreciate the clear structure and helpful illustrations which enhance comprehension of complex concepts like PCA and L2 norm. The margins are designed for note-taking, adding an interactive element to the learning experience. Users have highlighted the quality of the content, praising its ability to simplify mathematical learning for aspiring machine learning enthusiasts.

مراجعات العملاء وتقييماتهم

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إيجابيات

  • Excellent resource for beginners in machine learning
  • Clear explanations of complex mathematical concepts
  • Well-structured with helpful illustrations
  • Interactive margins for personal notes
  • Covers all important math topics effectively

سلبيات

  • Minor issue with glue on the first pages

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