Machine Learning in Excel with PyTorch: A Practical Guide to Building Intelligent Models (Paperback) (ISBN-13: 9798189478031)

Bring the power of deep learning into your daily spreadsheet workflows.

Machine Learning in Excel with PyTorch bridges the gap between Python-driven data science and the accessibility of spreadsheet environments. Designed for data analysts, financial modelers, and developers, this guide demonstrates how to integrate PyTorch models directly into Excel for real-time inference, custom analysis, and automated decision-making.

Inside, you will learn how to:

• Connect PyTorch models to spreadsheet interfaces using clear, reproducible patterns.

• Prepare, clean, and structure tabular data for model input without leaving your workflow.

• Execute model predictions and run real-time inference within familiar formulas and tables.

• Streamline complex data pipelines into intuitive, user-friendly Excel interfaces.

Whether you want to deploy existing machine learning models to non-technical stakeholders or build custom interactive dashboards powered by deep learning, this book provides the practical, step-by-step foundation you need.