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

By Takehiro kanegi

Reactive Publishing

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.

• Format: Paperback
• Language: English
• ISBN: B0HBTK7YT4
• ISBN13: 9798189478031
• Release Date: July 2026
• Publisher: Independently Published
• Length: 552 Pages
• Weight: 1.45 lbs.
• Dimensions: 1.4" x 6.0" x 9.0"