Lecture 01: Overview and History of Artificial Intelligence in Fintech. TBA (To Be Announced) Teaching Assistant: Statlearning-notebooks, by Sujit Pal, Python implementations of the R labs for the StatLearning: Statistical Learning online course from Stanford taught by Profs Trevor Hastie and Rob Tibshirani. The Elements of Statistical Learning (ESL). Scikit-learn Tutorials: An Introduction of Machine Learning in Pythonĭeep Learning: Do-it-yourself with PyTorch, A course at ENS MIT: Deep Learning, by Ian Goodfellow, Yoshua Bengio, and Aaron Courville Manning: Deep Learning with Python, by Francois Chollet ISLR-Python: Labs and Applied, by Matt Caudill. Thursday 7:30-10:20pm, Lecture Theater G and Zoom from CANVAS, HKUSTĪn Introduction to Statistical Learning, with applications in R (ISLR). Prerequisite: Some preliminary course on (statistical) machine learning, applied statistics, and deep learning will be helpful.
To equip FinTech leaders with the conceptual frameworks and analytical tools for the development and deployment of AI-enabled applications and technologies. To educate the next generation of innovators of the digital economy, especially in the financial sector With a focus on the conceptual understanding of the fundamentals of AI, the purpose of this course is two-fold: This course explores the basic concepts and underlying principles of artificial intelligence (AI), delving into the fundamentals of machine learning with insights from case studies of relevant technologies.Īllowing for the experimentation of applications of machine learning, this course is designed to encourage students to devise creative ways to put readily-available AI technologies to use to tackle problems
0 kommentar(er)
