Description
Machine Learning for Excel by Hayden van der Post is a comprehensive guide for financial professionals and analysts who want to harness the power of artificial intelligence in Excel without getting bogged down in the complexities of coding. In this book, the author shows how to transform Excel from a simple computational tool into an intelligent platform for accurate forecasting and data-driven decision-making, bridging the gap between the simplicity of Excel and the complexity of machine learning.
In various sections of this book, advanced concepts such as automating financial forecasts, building predictive models, and integrating Excel with artificial intelligence tools are explained in simple language. By reading this work, readers will learn how to design data pipelines that learn over time and adapt to market changes, ultimately significantly improving their organization’s productivity in the areas of strategic planning and financial analysis.
Book Features
- Step-by-step tutorial on building intelligent predictive models directly in the Excel software environment.
- Provide practical solutions for automating repetitive modeling tasks using artificial intelligence.
- Focus on machine learning concepts without the need for programming knowledge or writing complex code.
- Investigating the applications of artificial intelligence in the areas of strategic accounting, FP&A, and corporate financial management.
- Learning to design predictive analytics systems that have the ability to learn and adapt to new data.
- A guide to integrating Excel with Python and new AI tools for big data analysis.
Book specifications
- Publisher: Reactive
- Instructor: Hayden Van Der Post
- Number of pages: 790
- Number of chapters: 10
- Format: PDF
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User Guide
Extract the file and run it with the appropriate software.
Download link
File(s) password: www.downloadly.ir
File size
2.4 MB
