xplainable AI Mastery with FastAPI: Deploy, Visualize, and Understand Machine Learning Decisions with RealTime Dashboards for Maximum Trust and Clarit

By Timothy Kertzmann

Explainable AI Mastery with FastAPI challenges developers to transform opaque machine learning models into transparent, trustworthy systems. How can you deploy AI that not only predicts but clearly explains its decisions in real time? This book delivers practical, hands-on guidance to build fast, scalable AI services with FastAPI-complete with interactive dashboards that bring model logic to life.

You'll learn how to integrate state-of-the-art explainability libraries like SHAP and LIME, train interpretable models for fraud detection and loan approvals, and deploy secure APIs that expose both predictions and detailed explanations. With real-world case studies and production-ready code examples, you'll develop skills to design AI systems that meet today's demands for transparency, compliance, and user trust.

Inside, discover how to:

Build prediction and explanation endpoints with FastAPI that scale effortlessly under load

Visualize complex model decisions through live dashboards using Streamlit or Vue.js

Implement security best practices including authentication, rate limiting, and sensitive data handling

Monitor model drift and explanation consistency to maintain reliability in production

Employ modern CI/CD pipelines and container orchestration for seamless updates and robust deployments

This book is for developers, data scientists, and AI engineers ready to advance beyond black-box models and deliver clear, actionable insights from their AI systems. Are you prepared to build AI that stakeholders understand and trust?

Take control of your AI deployments with proven tools and step-by-step instructions that keep development fast, scalable, and transparent. Add Explainable AI Mastery with FastAPI to your library today and elevate your machine learning projects to meet the highest standards of clarity and accountability.

• Format: Paperback
• Language: English
• ISBN: B0FLQ2SKVJ
• ISBN13: 9798296992086
• Release Date: August 2025
• Publisher: Independently Published
• Length: 196 Pages
• Weight: 0.77 lbs.
• Dimensions: 0.4" x 7.0" x 10.0"