Prep Material: CS7180 - Generative AI

📋 Main Topics¶

• Python Programming
• Jupyter Notebook and Google Colab
• Linear Algebra Essentials for Machine Learning
• Fundamental Machine Learning Concepts

🐍 Python Programming¶

• 📘 Learn Python by Google
• 📘 Learn Python
• Familiarity with libraries:
  • numpy, pandas, and scikit-learn
• Practice environments:
  • 🌐 Jupyter Notebook
  • 🌐 Google Colab

🔢 Linear Algebra¶

• 📘 Interactive Linear Algebra (Georgia Tech)
• 🎥 A Friendly Introduction to Linear Algebra for Machine Learning

🤖 Machine Learning Basics¶

• 📘 Zero to AI: A Non-Technical Guide to AI
• 📘 The Hundred-Page Machine Learning Book
• 🌐 Google Machine Learning Crash Course

🧠 Deep Learning¶

• 📘 Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

• 🗣️ Speech and Language Processing (3^rd ed. draft) by Dan Jurafsky and James H. Martin

This preparatory material aims to set a strong foundation for success in the Generative AI course. Make sure to review and practice these resources as they will be critical to understanding the core concepts discussed in the course.