AI for Finance 1st Edition

Unlock the future of finance with AI for Finance, 1st Edition by Edward P. K. Tsang. This clear, authoritative guide brings artificial intelligence out of the lab and into trading floors, risk desks, and portfolio teams worldwide.

Designed for finance professionals, quantitative analysts, students, and fintech innovators, the book explains core AI and machine-learning techniques—predictive analytics, supervised and unsupervised learning, reinforcement learning, and optimization—and shows how they solve real-world financial problems. You’ll find practical explanations of algorithmic trading strategies, portfolio optimization, risk modelling, fraud detection, and time-series forecasting that make complex concepts accessible without sacrificing rigor.

Readers benefit from step-by-step walkthroughs, intuitive examples, and industry-focused case studies that demonstrate how AI improves decision-making across global markets—from New York and London to Hong Kong and emerging markets. The writing emphasizes model validation, feature engineering, interpretability, and the ethical and regulatory considerations essential to deploying AI in finance.

Whether you’re transitioning from traditional quantitative methods or expanding your fintech toolkit, this first edition equips you with the frameworks and insights needed to design, evaluate, and implement AI-driven solutions that deliver measurable results. Practical, up-to-date, and globally relevant, AI for Finance is the professional resource that bridges theory and practice.

Bring AI into your financial workflow—order your copy of AI for Finance, 1st Edition by Edward P. K. Tsang today and stay competitive in an increasingly data-driven industry.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.