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Machine Learning in Excel with PyTorch: A Practical Guide to Building Intelligent Models
Paperback
Publisher: Independently Published
Published: Jul 27 2026
Pages: 552
Weight: 1.45
Height: 1.37 Width: 6.00 Depth: 9.00
Language: English
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.
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