Introduction to Machine Learning In Finance: Data-Driven Strategies for Modern Financial Insights with Python (The CFO Guide to FP&A Mastery Book 14)
by Hayden Van Der Post, Reactive Publishing
Introduction to Machine Learning In Finance presents an introductory look at applying machine learning to financial work. With an emphasis on data-driven strategies, Python, and modern financial insights, this volume in The CFO Guide to FP&A Mastery series offers a finance-focused starting point for exploring emerging analytical approaches.
About This Book
Introduction to Machine Learning In Finance explores the intersection of machine learning and financial analysis.
The book focuses on data-driven strategies for developing modern financial insights with Python.
Positioned within The CFO Guide to FP&A Mastery series, it addresses topics relevant to finance leadership and financial planning and analysis.
It is intended as an introductory resource for readers seeking to understand machine learning concepts in a finance-focused context.
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