人工智能機器學習

臺北科技大學 114-2 學期課程，課號 356887。

• 學期：114-2
• 授課教師：陳詩雯
• 學分：3
• 選修
• 上課時段：週二 5、6、7 節

課程大綱

Introduction to machine learning by Python programming. Regression analysis, dimension reduction, feature extraction, classification methods, neural networks, and LLM. Python examples to improve students' knowledge of machine learning.

課程進度

week1: Introduction to machine learning week2: Probability and optimization week3: Feature Extraction week4: Bayesian decision theory week5: Regression week6: Neural Networks week7: CNNs week8: Hidden Markov Models week9: Mid-term presentation week10: LSTM and RNN week11: Attentions week12: Generative Models week13: Transformers week14: Autoencoders week15: Graphical NN week16: DDPM week17: Case Study week18: Final exam

評量方式

Homework 40% Mid-term project 30% Final Exam 30%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 1. Hui Jiang, Machine learning Fundamentals A Concise Introduction, Cambridge, 2021