Week 2: Statistics & Machine Learning
Week Overview
This week we delve into the fundamentals of statistical learning and machine learning, covering topics such as exploratory data analysis, regression, clustering, neural networks, and more. Each day includes lectures, exercises, and practical sessions.
- Day 1: Introduction to Data Science and Exploratory Data Analysis
- Day 2: Least Squares and Logistic Regression
- Day 3: Reinforcement Learning and Model Evaluation
- Day 4: Large Language Models and Clustering
- Day 5: Research Spotlight and Team Presentations
Day 1
Today’s Focus
Introduction to Data Science, Exploratory Data Analysis, and Neural Networks
Statistical Learning
- Conceptual Introduction to Data Science
- Exploratory Data Analysis (EDA)
- Exploratory Data Analysis Answers (EDA)
Machine Learning
- Conceptual Introduction to Deep Learning and AI
- Intro to Neural Networks
Additional Resources
Day 2
Today’s Focus
Least Squares, Logistic Regression, and Introduction to Convolutional Neural Networks
Statistical Learning
- Least Squares
- Logistic Regression
Machine Learning
- Introduction to Convolutional Neural Networks
- Kernels
- Intro to CNN Part 1
Additional Resources
Day 3
Today’s Focus
Reinforcement Learning, Model Evaluation, and Convolutional Neural Networks
Statistical Learning
- Reinforcement Learning
- Model Evaluation
Machine Learning
- Convolutional Neural Networks (Continued)
Day 4
Today’s Focus
Large Language Models and Clustering
Machine Learning
Statistical Learning
Day 5
Today’s Focus
Research Spotlight and Team Presentations
Activities
- Research Spotlight
- Car Demo
- Team Presentation
Note
Daily sessions will be recorded and made available here at the conclusion of each day.