Data Augmentation with Python
The book helps you grasp images, text, audio, and tabular augmentation methods using real-world datasets from the Kaggle website. Throughout the chapters, you’ll discover augmentation concepts and techniques, a review of available open source augmentation libraries, and a reinforcement learning section through Python Notebook coding exercises.
Offered by
Difficulty Level
Intermediate
Completion Time
13h8m
Language
English
About Book
Who Is This Book For?
This book is for data scientists and students interested in the AI discipline. Advanced AI or deep learning skills are not required; however, knowledge of Python programming and familiarity with Jupyter Notebooks are essential to understanding the topics covered in this book.
Data Augmentation with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 13h8m total length
Data Augmentation Made Easy
Biases in Data Augmentation
Image Augmentation for Classification
Image Augmentation for Segmentation
Text Augmentation
Text Augmentation with Machine Learning
Audio Data Augmentation
Audio Data Augmentation with Spectrogram
Tabular Data Augmentation
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