Models and Algorithms for Unlabelled Data (MEAP v03)
Vaibhav Verdhan
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 Unlabelled 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
MEAP v03
Chapters 1 to 4
Models and Algorithms for Unlabelled 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
MEAP v03
Chapters 1 to 4
Categorie:
Anno:
2021
Edizione:
1 / MEAP v03
Casa editrice:
Manning Publications
Lingua:
english
Pagine:
147
ISBN 10:
1617298727
ISBN 13:
9781617298721
File:
PDF, 7.94 MB
IPFS:
,
english, 2021
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