Machine Learning in Excel with PyTorch: A Practical Guide to Building Intelligent Models

Reactive PublishingBring 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.