Data Without Labels
Autor Vaibhav Verdhanen Limba Engleză Paperback – iun 2025
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
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 LEVELREAD IN LIVEBOOK4ASSOCIATION RULES
5 CLUSTERING TECHNIQUES (ADVANCED)
6 DIMENSIONALITY REDUCTION (ADVANCED)
7 UNSUPERVISED LEARNING FOR TEXT DATA
PART 3 ADVANCED CONCEPTS8 DEEP BELIEF NETWORKS
9 AUTOENCODERS FOR IMAGES
10 GAN FOR TEXT AND IMAGES
PART 4 END-TO-END MODEL JOURNEY11 END-TO-END MODEL JOURNEY