Machine Learning Summer Tutorial Series
2023 Summer Tutorial Series (Syllabus)
Machine Learning: Applications and Practices, and Introduction to Meteorology
Instructors:
- Dr. Xu Yuan from UL Lafayette
- Dr. Li Chen from UL Lafayette
- Dr. Nian-Feng Tzeng from UL Lafayette
- Dr. Hao Wang from Louisiana State University
- Dr. Sytske Kimball from University of South Alabama
- Dr. Eric Rappin from Western Kentucky University
Week 1
- May 31 - Lecture 1: Course Overview and Introduction to Machine Learning. Slides. Video Record
- June 2 - Lab 1: Installing Python (File 1), Running Simple ML Examples (File 2). Video Record
Week 2
- Watching video clips: The sun as the primary weather forcing factor.
- June 7 - Lecture 2: Feature Selection and ML Classification. Slides. Video Record
- June 8 - Q&A Video Record.
- June 9 - Lab 2: Labeling Twitter Data and Coding for Feature Extraction. Data Label Sample Codes, Feature Extraction Sample Codes, and Video Record
Week 3
- Watching video clips: What happens when the sun hits the Earth’s Surface?
- June 14 - Lecture 3: Neural Networks and Deep Learning Fundamentals. Slides and Video Record
- June 15 - Q&A Video Record.
- June 16 - Lab 3: Coding for ML Algorithms. ML Classification Sample Codes and Video Record
Week 4
- Watching video clips: Where weather affects us: The Boundary Layer?
- June 21 - Lecture 4: Theory of Deep Learning. Slides. Video Record
- June 22 - Q&A
- June 23 - Lab 4: Coding for LSTM and CNN. Sample Codes and Video Record
Week 5
- Watching video clips: Forecasting Basics?
- June 28 - Lecture 5: Weather Forecasting: Introduction to Mesonet and WRF-HRRR Data, and Forecasting Modelets Slides and Video Record
- June 29 - Q&A
- June 30 - Lab 5: Downloading Data of Interests and Extracting FeaturesDownload Sample Codes, and Micro Sample Codes and Micro Running Modelets Mesonet and WRF Sample Codes. and Video Record
Week 6
- Watching video clips: Severe Weather
- July 5 - Lecture 6: Reinforcement Learning Slides and Video Record.
- June 6 - Q&A
- July 7- Lab 6: Coding for Reinforcement Learning. Sample Codes and Video Record.
Week 7
- Watching video clips: Hurricanes
- July 12 - Lecture 7: Introduction of Large Language Models (LLMs). Slides and Video Record.
- June 13 - Q&A
- July 14 - Lab 7: Hands-on Experience with Training and Using LLMsLLM codes.
Week 8
- Watching video clips: Measuring the Weather with Instruments and Weather Stations
- July 19 - Lecture 8: How Does ChatGPT work? Slides and Video Record.
- June 20 - Q&A
- July 21 - Lab 8: Hands-on Experience with Training and Using LLMs. Video Record.
Week 9
- Watching video clips: Observing Weather with Radar
- July 26 - Lecture 9: LLMs for Real-world Applications. Slides and Video Record.
- June 27 - Q&A
- July 28 - Lab 9: Reporting. Video Record.
