Who this book is for
This comprehensive book is thoughtfully tailored to meet the needs of a variety of professionals, including the following:
- ML researchers, ML scientists, ML engineers, and students: Professionals and learners in the fields of ML and deep learning who seek to gain valuable insights and practical knowledge for tackling the challenges posed by data imbalance
- Data scientists and analysts: Experienced data experts eager to expand their knowledge of handling skewed data with practical, real-world solutions
- Software engineers: Software engineers who want to effectively integrate ML and deep learning solutions into their applications when dealing with imbalanced data
- Practical insight seekers: Professionals and enthusiasts from various backgrounds who want to use hands-on, industry-relevant approaches for efficiently dealing with data imbalance in ML and deep learning, enabling them to excel in their respective roles
