Mastering Unlabeled Data

De (autor): Vaibhav Verdhan

Mastering Unlabeled Data - Vaibhav Verdhan

Mastering Unlabeled Data

De (autor): 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.

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.

Citește mai mult

transport gratuit

495.92Lei

495.92Lei

Primești 495 puncte

Important icon msg

Primești puncte de fidelitate după fiecare comandă! 100 puncte de fidelitate reprezintă 1 leu. Folosește-le la viitoarele achiziții!

Indisponibil

Descrierea produsului


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.

Citește mai mult

De același autor

Părerea ta e inspirație pentru comunitatea Libris!

Istoricul tău de navigare

Noi suntem despre cărți, și la fel este și

Newsletter-ul nostru.

Abonează-te la veștile literare și primești un cupon de -10% pentru viitoarea ta comandă!

*Reducerea aplicată prin cupon nu se cumulează, ci se aplică reducerea cea mai mare.

Mă abonez image one
Mă abonez image one
Accessibility Logo