p-workshops-2022

P-ai's AI/ML workshops, revamped for the 2022-2023 school year!

Previous years' workshop recordings can be found in this Google Drive Folder.

Python Workshop: Monday, October 3rd 4:30pm (Edmunds 101)

• Python basics
• Introductions & setup
  • Git / GitHub
  • Jupyter Notebook / Google Colab

Workshop Session 1: Wednesday, October 5th 4:30pm (Edmunds 114)

• Link to Recording
• Demystifying Machine Learning
  • GI vs. AI vs. ML vs. DL
  • Linear regression as a machine learning algorithm
  • What it means to train a machine learning model
• Bias in ML

Workshop Session 2A: Wednesday, October 12th 4:30pm (Edmunds 114)

• Link to Recording
• Domains of machine learning
• Supervised learning in more detail
• Linear regression
• Case study with house prices

Workshop Session 2B: Wednesday, October 19th 4:30pm (Edmunds 114)

• Link to Recording
• Logistic regression
• Case study

Workshop session 3: Wednesday, October 26th 4:30pm (Edmunds 114)

• Link to Recording
• Gradient descent
  • What is gradient descent?
  • How do machines use GD to learn?
• Machine learning model crash course
  • K-Nearest Neighbors
  • Naive Bayes
  • Decision Trees
  • Random Forest
  • Support Vector Machines
• Case study applying the skills we learned
• How to use git & GitHub

Workshop Session 4a: Wednesday, November 2nd 4:30pm (Edmunds 114)

• Link to Recording
• Deep learning
  • Intuition behind neural nets

Special Topics Workshop: Quantum SVMs and Optical Neural Networks

• Link to Recording
• Non-Classical machine learning techniques