SC310005 Artificial Intelligence at Khon Kaen University 2023

Lecturer: Teerapong Panboonyuen (Kao), Ph.D.

Contact: teerapong.pa@chula.ac.th and panboonyuen.kao@gmail.com

Link for lecture slides: https://bit.ly/sc310005lectures

Announcing the AI Final Project!

• (1) Guidelines on Detail Assignment: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/assignments/SC310005-AI-Final-Project.pdf

• (2) Sign Up Projects: https://docs.google.com/spreadsheets/d/18tur5UXjUjxgegQziECyGpKikS-WqRwj2QNNllYX9Bs/edit?usp=sharing

** Scientific posters should be oriented exclusively in the vertical position. ** Recommend using a portrait A0 layout.

Week1: Intro to Numpy, Pandas

• Week1 Lecture Code: https://colab.research.google.com/drive/1bq3i-WfNEJytu9EefqF4LbC3gepN0OL0?usp=sharing
• Laboratory Activities for Week 1: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/assignments/SC310005-Week-1-AI-Laboratory-Activities.pdf
• Titanic Dataset: https://raw.githubusercontent.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/main/dataset/titanic_dataset.csv

Week2: Basic Pandas II

• Laboratory Activities for Week 2: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/assignments/SC310005-Week-2-AI-Laboratory-Activities.pdf
• Mushroom Dataset: https://raw.githubusercontent.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/main/dataset/mushrooms_dataset.csv

Week3: (Recap) Basic Pandas I and II

Week4: Seaborn

• Slide: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/slides/lecture_4_seaborn.pdf
• Laboratory Activities for Week 4: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/assignments/SC310005-Week-4-AI-Laboratory-Activities.pdf
• Mushroom Dataset: https://raw.githubusercontent.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/main/dataset/mushrooms_dataset.csv

Week5: Supervised Learning (Part I)

• Slide: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/slides/lecture_5_supervised_learning_part_i.pdf
• Laboratory Activities for Week 5: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/assignments/SC310005-Week-5-AI-Laboratory-Activities.pdf
• Heart Attack Dataset: https://raw.githubusercontent.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/main/dataset/heart_attack_dataset.csv

Week6: Supervised Learning (Part II)

• Slide: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/slides/lecture_6_supervised_learning_part_ii.pdf
• Laboratory Activities for Week 6: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/assignments/SC310005-Week-6-AI-Laboratory-Activities.pdf
• Heart Attack Dataset: https://raw.githubusercontent.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/main/dataset/heart_attack_dataset.csv

Week7: Regression

• Slide: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/slides/lecture_7_regression.pdf
• Laboratory Activities for Week 7: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/assignments/SC310005-Week-7-AI-Laboratory-Activities.pdf
• House Price Dataset: https://raw.githubusercontent.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/main/dataset/house_prices_dataset.csv

Week8: Unsupervised Learning (Part I)

• Slide: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/slides/lecture_8_unsupervised_learning_part_i.pdf
• Laboratory Activities for Week 8: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/assignments/SC310005-Week-8-AI-Laboratory-Activities.pdf
• Dataset: https://raw.githubusercontent.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/main/dataset/covid19_vaccination_dataset.csv

Week9: Apriori Association Rules and Recommender Systems

• Slide: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/slides/lecture_9_apriori_sssociation_rules_and_recommender_systems.pdf
• Laboratory Activities for Week 9: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/assignments/SC310005-Week-9-AI-Laboratory-Activities-Recommender-System.pdf
• Dataset: https://raw.githubusercontent.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/main/dataset/amazon_reviews_dataset_toStudent.csv

Week10: Deep Learning Part I (Convolutional Neural Networks)

• Slide: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/slides/lecture_10_deep_learning_image_classification.pdf
• Laboratory Activities for Week 10: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/assignments/SC310005-Week-10-AI-Laboratory-Activities.pdf
• Dataset: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/raw/main/dataset/MangoLeafBD_dataset_small_v2.zip
• Code: https://colab.research.google.com/github/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/code/mango_leaf_train_and_save_weight_2024v1_toStudent.ipynb

Week11: Deep Learning Part II (Custom Convolutional Neural Networks)

• Slide: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/slides/lecture_11_deep_learning_custom_cnn.pdf
• Laboratory Activities for Week 11: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/assignments/SC310005-Week-11-AI-Laboratory-Activities.pdf
• Code: https://colab.research.google.com/github/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/code/mango_leaf_train_and_save_weight_2024v3_part2_toStudent.ipynb

Week12: Time Series Analysis

• Slide: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/slides/lecture_12_time_series.pdf
• Laboratory Activities for Week 12: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/assignments/SC310005-Week-12-AI-Laboratory-Activities.pdf
• Dataset: YFinance Library (https://pypi.org/project/yfinance/, https://finance.yahoo.com/)

Week13: Final Project

• Slide: https://github.com/kaopanboonyuen/SC310005_ArtificialIntelligence_2023s1/blob/main/slides/lecture_13_ai_final_project.pdf

** Updated python codes/notebooks will be posted here shortly before each lecture.

Books:

• Heaton, Jeff. "Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning: The MIT Press, 2016, 800 pp, ISBN: 0262035618." Genetic programming and evolvable machines 19.1-2 (2018): 305-307.

• https://www.deeplearningbook.org/exercises.html

Reference:

1. https://www.kaggle.com/code
2. https://www.tensorflow.org/tutorials
3. https://github.com/topics/machine-learning
4. https://archive.ics.uci.edu/ml/datasets.php
5. https://colab.research.google.com/notebooks/