FinTech AI and Machine Learning Course Overview
Explore the world of FinTech AI and Machine Learning with instructor Roger Jang at National Taiwan University. Dive into decision-based AI, generative AI, various AI topics, prerequisites, and more. No direct programming teaching, but examples provided for specific applications. Immerse yourself in the future of finance technology!
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Presentation Transcript
2025/4/3 Machine Learning (ML) and AI in FinTech J.-S. Roger Jang ( ) MIR Lab, CSIE Dept. National Taiwan University jang@mirlab.org, http://mirlab.org/jang
Instructor Name: Roger Jang ( Contact info Email: jang@mirlab.org Line: roger.jang Phone: 0953-154-045 (10am-10pm) Office hour: Right after each class, or by appointments 2/7
Resources Course page: http://mirlab.org/jang/courses/fintechTextmining Schedule page http://mirlab.org/jang/courses/fintechTextmining/schedule.asp Slido https://slido.com Code: fintech101 3/7
Types of AI AI (Decision-based AI): Everywhere! Face detection and recognition (facebook, google photo) Speech-enabled personal assistants Siri, Google Home, Cortana, Echo IBM s Deep Blue Google s Alpha Go IBM s Watson Google s self-driving cars Robo advisors AI (Generative AI): Fresh and hot! ChatGPT, Bard, Gemini Sora (released 5 days ago) Gallery: https://www.youtube.com/watch?v=2fAPgOCjToA Comparison: https://www.youtube.com/watch?v=nbPbK1xYSNY 4/7
Topics AI AI ML ML K-nearest-neighbor Maximum likelihood estimate Naive Bayes classifiers Quadratic classifiers Linear classifiers Deep neural networks EDA Data visualization Missing data handling Deletion Imputation Gradient descent Performance indices Performance evaluation Feature selection Feature extraction AI 5/7
Prerequisites Prerequisites for AI/ML part of this course Calculus You need to know how to do differentiation Linear algebra You need to know matrix operations, determinant, etc. Probability You need to know PDF of continuous variables Talk to me if you don t have the prerequisites but still want to take the course. 6/7
Others Things to Remember About programming We won t teach programming directly. TA will have some examples of programming for specific applications. About ML We won t be able to cover everything about AI/ML. Once you have AI/ML concepts, you can use them in your code directly. 7/7
