Dataset Shift in Machine Learning (Neural Information Processing series)

This comprehensive volume offers a thorough overview of recent efforts in the machine learning community to address dataset and covariate shift, a common problem in predictive modeling that can lead to poor performance in real-world applications.

With contributions from leading experts in the field, the book provides a mathematical and philosophical introduction to the problem, as well as theoretical views of dataset and covariate shift and algorithms for addressing these issues.

Whether you're working on email spam filtering or any other practical application, this book is essential reading for anyone looking to improve their predictive modeling skills and overcome the challenges of dataset and covariate shift.

Don't miss out on this valuable resource - order your copy today!