Introduction to Artificial Intelligence

Objective

• The study of fundamentals and practical issues of artificial intelligence, machine learning, deep learning and large language models.

Lecture Note

Outline

Part I Introduction to Artificial Intelligence

• DK, Simply Artificial Intelligence, DK Publishing, 2023.
• History of Artificial Intelligence
• Classical Artificial Intelligence
• Statistical Artificial Intelligence
• Using Artificial Intelligence
• Philosophy of Artificial Intelligence
• Living with Artificial Intelligence

Part II Machine Learning and Deep Learning

• Sebastian Raschka, Yuxi (Hayden) Liu and Vahid Mirjalili, Machine Learning with PyTorch and Scikit-Learn, Packt, 2022.
• Chapter 1: Giving Computers the Ability to Learn from Data
• Chapter 2: Training Simple Machine Learning Algorithms for Classification
• Chapter 3: A Tour of Machine Learning Classifiers Using Scikit-Learn
• Chapter 4: Building Good Training Datasets ¡V Data Preprocessing
• Chapter 5: Compressing Data via Dimensionality Reduction
• Chapter 6: Learning Best Practices for Model Evaluation and Hyperparameter Tuning
• Chapter 7: Combining Different Models for Ensemble Learning
• Chapter 8: Applying Machine Learning to Sentiment Analysis
• Chapter 9: Predicting Continuous Target Variables with Regression Analysis
• Chapter 10: Working with Unlabeled Data ¡V Clustering Analysis
• Chapter 11: Implementing a Multilayer Artificial Neural Network from Scratch
• Chapter 12: Parallelizing Neural Network Training with PyTorch
• Chapter 13: Going Deeper ¡V The Mechanics of PyTorch
• Chapter 14: Classifying Images with Deep Convolutional Neural Networks
• Chapter 15: Modeling Sequential Data Using Recurrent Neural Networks
• Chapter 16: Transformers ¡V Improving Natural Language Processing with Attention Mechanisms
• Chapter 17: Generative Adversarial Networks for Synthesizing New Data
• Chapter 18: Graph Neural Networks for Capturing Dependencies in Graph Structured Data
• Chapter 19: Reinforcement Learning for Decision Making in Complex Environments

Part III Generative AI and Large Language Models

Grading

• Assignments
  • Submission List
• Midterm Presentation
  
• Final Presentation
  
• Participation
• Semester Grading
  • Semester Grading

Prerequisites

• Intention and attendance