Data Without Labels - Vaibhav Verdhan - Livros - Manning Publications - 9781617298721 - 16 de julho de 2025
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Data Without Labels

Vaibhav Verdhan

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Data Without Labels

Discover all-practical implementations of the key algorithms and models for handling unlabelled data. Full of case studies demonstrating how to apply each technique to real-world problems.

Models and Algorithms for Unlabeled Data introduces mathematical techniques, key algorithms, and Python implementations that will help you build machine learning models for unannotated data.

You'll master everything from kmeans and hierarchical clustering, to advanced neural networks like GANs and Restricted Boltzmann Machines. You'll learn the business use case for different models, and master best practices for structured, text, and image data. Each new algorithm is introduced with a case study for retail, aviation, banking, and more--and you'll develop a Python solution to fix each of these real-world problems. At the end of each chapter, you'll find quizzes, practice datasets, and links to research papers to help you lock in what you've learned and expand your knowledge.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.


250 pages

Mídia Livros     Paperback Book   (Livro de capa flexível e brochura)
Lançado 16 de julho de 2025
ISBN13 9781617298721
Editoras Manning Publications
Páginas 250
Dimensões 186 × 236 × 19 mm   ·   650 g
Idioma English  

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