Chapman & Hall/CRC Machine Learning & Pattern Recognition: Machine Learning: An Algorithmic Perspective, Second Edition (Hardcover)
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Chapman & Hall/CRC Machine Learning & Pattern Recognition: Machine Learning: An Algorithmic Perspective, Second Edition (Hardcover)
Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning.
Chapman & Hall/CRC Machine Learning & Pattern Recognition: Machine Learning: An Algorithmic Perspective, Second Edition (Hardcover)
vare #: 36960053

Chapman & Hall/CRC Machine Learning & Pattern Recognition: Machine Learning: An Algorithmic Perspective, Second Edition (Hardcover)

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Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning.
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Det som utmerker seg

Comprehensive Coverage
Offers a thorough exploration of machine learning algorithms, ensuring readers gain a solid understanding of concepts and applications across various domains.
Practical Examples
Incorporates real-world case studies and practical examples, enabling users to apply theoretical knowledge to solve actual problems in machine learning.
Expert Authors
Written by recognized experts in the field, providing authoritative insights and advanced techniques that enhance the learning experience for both beginners and seasoned practitioners.

Produkt detaljer

Find the best deals on the 2nd edition of Machine Learning: An Algorithmic Perspective by Stephen Marsland in Hardcover format. Shop now at Ubuy NORGE for the best prices!
  • Proven, hands-on approach for computer science students without a strong statistical foundation
  • New chapters on deep belief networks and Gaussian processes in the second edition
  • Reorganized chapters for a more natural flow of content
  • Improved material on support vector machine, random forests, accuracy methods, and more
  • Encourages students to practice with the provided code and includes detailed examples, further reading, and problems for each chapter
  • All code used in examples available on the author's website
Book formatHardcover
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateOctober, 2014
Pages458
Reading levelUndergraduate
Series titleChapman & Hall/CRC Machine Learning & Pattern Recognition
Number in series2
Edition2nd Edition
PublisherCRC Press
Original languagesEnglish
Languageenglish
Edu focusMathematics
Educational levelCollege
Is collectibleN
Assembled product height10 in
Assembled product weight2.24 lb (1.02 kg)
Bisac subject headingBusiness & Economics, Computers

Hvem passer produktet for?

Suitable For
  • Students

    Ideal for undergraduate and graduate students studying machine learning concepts in computer science or data science fields.

  • Professionals

    Designed for data scientists and machine learning engineers seeking to deepen their algorithmic knowledge and practical application.

  • Researchers

    Helpful for researchers exploring advanced machine learning techniques and wanting thorough algorithm explanations and examples.

Not Suitable For
  • Beginners

    Not suitable for those with no prior knowledge of programming or machine learning concepts, as it is quite technical.

PRODUKTBESKRIVELSE

Chapman & Hall/CRC Machine Learning & Pattern Recognition: Machine Learning: An Algorithmic Perspective, Second Edition (Hardcover)

About This Item

Introducing the Chapman & HallCRC Machine Learning & Pattern Recognition: Machine Learning: An Algorithmic Perspective, Second Edition. This comprehensive book is a must-have for anyone interested in the fascinating field of machine learning and pattern recognition. Authored by Stephen Marsland, a renowned expert in the field, this book provides a thorough understanding of the fundamentals of machine learning. With its clear and concise writing style, it caters to beginners as well as advanced users. This second edition features updated content and algorithms, making it a valuable resource for both students and practitioners.

Whether you're a computer science student, a researcher, or a professional in the industry, this book will guide you through the world of machine learning with ease. Learn about various machine learning algorithms, such as supervised and unsupervised learning techniques, and gain insights into pattern recognition techniques. Discover how machine learning is applied in different domains, like healthcare and finance, and explore topics like natural language processing and big data analytics. With its focus on practical application, this book offers real-world examples and case studies to help you understand how machine learning algorithms are implemented. Additionally, you'll find tutorials and courses that accompany the book, providing a comprehensive learning experience. The Chapman & HallCRC Machine Learning & Pattern Recognition: Machine Learning: An Algorithmic Perspective, Second Edition is available in a durable hardcover format, ensuring that it will withstand constant use and remain a valuable reference in your library. Don't miss out on this opportunity to master machine learning and pattern recognition.

Order your copy of the Chapman & HallCRC Machine Learning & Pattern Recognition: Machine Learning: An Algorithmic Perspective, Second Edition today and unlock the power of machine learning in your projects and research.

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Fordeler

  • Comprehensive content coverage
  • Clear explanations and examples
  • Well-organized chapters
  • Current and relevant research
  • Strong practical applications

Ulemper

  • Some concepts may be complex for beginners.

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Funksjoner og fordeler

  • Proven, hands-on approach for students without a strong statistical foundation
  • Helps students understand the algorithms of machine learning
  • Includes new chapters on deep belief networks and Gaussian processes
  • Reorganized chapters for a more natural flow of content
  • Improved code, including better use of naming conventions in Python
  • Suitable for both introductory and advanced courses

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