Building Explainable Machine Learning Systems By Ajay Thampi Manning Publications Newly Released For The 2026/2027 Academic Year Edition Guide

Master the art of building explainable machine learning systems with this comprehensive guide by Ajay Thampi, published by Manning. This resource covers the entire lifecycle from historical data processing and model training to testing, deployment, and continuous monitoring. Learn how to create interpretable AI that provides clear explanations for predictions, ensuring robustness and trust in production environments. Ideal for 2026/2027 students and professionals seeking to deepen their understa...