Singapore University of Social Sciences

FTH521 Artificial Intelligence, Machine Learning, and Deep Learning in Finance constructs a framework to explore and master the intricate mechanisms underpinning data analysis, predictive modelling, and financial process automation. This curriculum delves into a comprehensive array of sophisticated techniques, algorithms, and models that demystify the complexities of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). It encompasses an in-depth study of advanced supervised and unsupervised ML models, the architecture and functionality of artificial neural networks (ANN), convolutional neural networks (CNN), long short-term memory networks (LSTM), generative adversarial networks (GANs), and cutting-edge natural language processing (NLP) techniques. By harnessing and synthesizing these technologies, students are empowered to extract pivotal insights, augment operational efficiency, and formulate more precise, data-driven strategies to catalyse financial success. FTH521 金融中的人工智能、机器学习和深 度学习致力于构建包括数据分析、预测建模和金融流程自动化的框架体系，深入浅出地探 讨有关人工智能(AI)、机器学习(ML) 和深度学习(DL) 的一系列技术、算法和模型， 涵盖 了对高级监督和无监督机器学习模型、人工神经网络(ANN)、卷积神经网络(CNN)、长短 期记忆网络(LSTM)、生成对抗网络(GAN) 的架构和功能的深入研究，以及最前沿的自然 语言处理（NLP）技术。本课程旨在帮助学生了解和整合这些技术，培养从数据中挖掘关 键信息、提高运营效率，并制定更精确的数据驱动策略以促进金融成功的能力。