Machine Learning for Imbalanced Data

Kumar Abhishek, and Dr. Mounir Abdelaziz 

As machine learning practitioners, we often encounter imbalanced datasets in which one class has considerably fewer instances than the other. Many machine learning algorithms assume an equilibrium between majority and minority classes, leading to suboptimal performance on imbalanced data. This comprehensive guide helps you address this class imbalance to significantly improve model performance.

جهت استعلام قيمت و سفارش چاپ اين محصول لطفا با انتشارات گنج حضور تماس حاصل فرماييد.