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Mastering Unlabeled Data - MEAP V06 by Vaibhav Verdhan is a nonfiction available to read on EtoBox.

What is Mastering Unlabeled Data - MEAP V06 about?

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. In Mastering Unlabeled Data you’ll learn: • Fundamental building blocks and concepts of machine learning and unsupervised learning • Data cleaning for structured and unstructured data like text and images • Clustering algorith

Who reads Mastering Unlabeled Data - MEAP V06?

Author

Vaibhav Verdhan

Publisher

Manning Publications Co. LLC

Published

2023

Language

EN

ISBN

9781617298721

Category

nonfiction

Subjects

Computer Science, Algorithms And Data Structures, Stem