Lecture 1 Introduction to Machine Learning and its Production

In-class Material

1. Slides

2. Notebook

Extra Reading

1. ML x ART

2. AI & ML based App Ideas

3. AI can show us the ravages of climate change

4. Ted Talk: Image Recognition by Prof. Li Feifei

5. Truly Master Scikit-Learn

6. Data-Informed Product Building

7. Why Balancing Classes is Over-Hyped

8. DATASET BALANCING CAN HURT MODEL PERFORMANCE

9. Local LLM: Ollama and WebUI