Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, (Paperback)
Item #: 88895662

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, (Paperback)

Item #: 88895662

NZD 101

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Product Details

Shop Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, (Paperback) online at a best price in New Zealand. 756278101
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreTextbooks
Publication dateFebruary, 2022
Pages774
SubgenreGeneral
Series titleNo Series
Edition1
PublisherPackt Publishing
Original languagesEnglish
LanguageEnglish
Edu focusMathematics
Educational levelGeneral
Is collectibleN
Digital file formatPDF
Digital reader formatPDF
Digital audio file formatPDF
Retail packagingSingle Piece
Assembled product height9.25 in
Assembled product weight2.88 lb (1.31 kg)
Bisac subject headingMathematics

Product Description

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, (Paperback)

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Sebastian Raschka All Books Editorial Review

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, (Paperback) is an insightful textbook published by Packt Publishing, designed for those eager to delve into the realms of machine learning and deep learning. Spanning 774 pages, this non-fiction book not only covers essential concepts but also offers hands-on projects to enhance practical skills. Whether you're a student or a professional looking to master the intricacies of algorithms, it serves as an invaluable resource. The book is written in clear English, making it accessible to a broad audience interested in advancing their knowledge in mathematics and programming.

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Pros

  • Rich content on machine learning concepts
  • Hands-on projects for practical learning
  • Suitable for both beginners and professionals
  • Covers deep learning techniques effectively
  • Well-organized material for easy understanding

Cons

  • Paperback format may be less durable than hard copies

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