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Data Without Labels

Autor Vaibhav Verdhan
en Limba Engleză Paperback – iun 2025
Models and Algorithms for Unsupervised Learning introduces mathematical techniques, key algorithms, and Python implementations that will help you build machine learning models for unannotated data.Youll master everything from kmeans and hierarchical clustering, to advanced neural networks like GANs and Restricted Boltzmann Machines.
Youll 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 moreand youll develop a Python solution to fix each of these real-world problems. At the end of each chapter, youll find quizzes, practice datasets, and links to research papers to help you lock in what youve learned and expand your knowledge.
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Specificații

ISBN-13: 9781617298721
ISBN-10: 1617298727
Pagini: 250
Dimensiuni: 187 x 235 x 16 mm
Greutate: 0.3 kg
Editura: Manning Publications

Cuprins

table of contents
PART 1 BASICS
READ IN LIVEBOOK1INTRODUCTION TO MACHINE LEARNING
READ IN LIVEBOOK2CLUSTERING TECHNIQUES
READ IN LIVEBOOK3DIMENSIONALITY REDUCTION
PART 2 INTERMEDIATE LEVEL
READ IN LIVEBOOK4ASSOCIATION RULES
5 CLUSTERING TECHNIQUES (ADVANCED)
6 DIMENSIONALITY REDUCTION (ADVANCED)
7 UNSUPERVISED LEARNING FOR TEXT DATA
PART 3 ADVANCED CONCEPTS
8 DEEP BELIEF NETWORKS
9 AUTOENCODERS FOR IMAGES
10 GAN FOR TEXT AND IMAGES
PART 4 END-TO-END MODEL JOURNEY
11 END-TO-END MODEL JOURNEY