1. Introduction to Machine Learning
  2. 1. Week 1 - Data, Numpy, Matrices, Error/Loss functions and Regression
  3. 2. Week 2 - Non-Linear Regression, OLS, and Log Loss
  4. 3. Week 3 - Neural Networks: ANNs, DNNs, and CNNs
  5. 4. Week 4 - Classification: SVMs, Naive Bayes, KNN and Decision Trees
  6. 5. Week 5 - Finishing Classification & Intro to Unsupervised Learning: Clustering & Dimensional Reduction

UCSD CSE151A Summer Session I 2024

Week 1 - Data, Numpy, Matrices, Error/Loss functions and Regression

  • Deadlines:
    • Quiz 1 Due 7/7/2024
    • Homework 1 Due 7/14/2024

Week 1 Lecture Material

  • Lecture Slides
    • Slides PDF Syllabus
    • Slides PDF Introduction
    • Slides PDF Regression
  • Week 1 Notebooks
    • Notebook Tutorial Notebook
    • CA Housing Notebook
    • BCC Data Notebook
    • More coming soon!

Week 1 Discussion

  • Discussion Slides
  • Discussion Notebook