Books Machine Learning and Modeling Techniques in Financial Data Science Haojun Chen (Guangzhou Huali College, China)

"Machine Learning and Modeling Techniques in Financial Data Science" by Haojun Chen, published in 2025, is a comprehensive work addressing the transformative integration of machine learning and modeling within the finance sector. The book highlights how these advanced techniques enable more accurate predictions, improved risk assessments, and strategic planning, empowering financial professionals to uncover hidden patterns and automate complex processes.

It offers an updated review of recent theoretical advances and practical breakthroughs, covering various financial domains including algorithmic trading, financial technology (FinTech), and natural language processing (NLP). The book unites diverse experts globally to explore pressing industry and policy challenges, blending original research with applied methodologies.

By enhancing data-driven insights, the techniques detailed contribute to greater operational efficiency, reduced uncertainty, competitive advantage, and broader economic stability through better forecasting and risk mitigation.

This 574-page volume serves as an essential resource for business professionals, researchers, policymakers, and academicians interested in leveraging machine learning and modeling to address real-world financial challenges with a comprehensive, scholarly perspective.