103,40 €
114,89 €
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Mastering Unlabeled Data
103,40 € 
- We will send in 10–14 business days.
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. Mastering 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 Machi…
114.89
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- Author: Vaibhav Verdhan
- Publisher: Manning Publications
- ISBN-10: 1617298727
- ISBN-13: 9781617298721
- Format: 18.5 x 23.4 x 2 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
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. Mastering 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.EXTRA 10 % discount with code: EXTRA
103,40 €
114,89 €
We will send in 10–14 business days.
The promotion ends in 21d.22:39:59
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Vaibhav Verdhan
- Publisher: Manning Publications
- ISBN-10: 1617298727
- ISBN-13: 9781617298721
- Format: 18.5 x 23.4 x 2 cm, minkšti viršeliai
- Language: English English
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. Mastering 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.
Reviews