Yuchen-UofT-notes

This collection of notes aimed to help myself learn Math & Stats efficiently. Since one course gives dozens of theorems and corollaries, sorting them into clean notes was usually a good way to include them in the knowledge network in my mind.

Update Nov 26 2023: Two years after my graduation from UofT, I am still receiving appreciation towards these notes every month. Thanks everyone for your kind words! I’m glad these notes have been helping many of you through your own journeys at UofT 😊.

🖋 Complete Notes

• 🗝 STA447 Stochastic Processes (Winter 2020)

• 🗝 STA414 Statistical Methods for Machine Learning II (Winter 2020)

• 🗝 MAT337 Real Analysis (Winter 2020)

• 🗝 APM462 Nonlinear Optimizations (Fall 2019)

• 🗝 STA347 Probability I (Fall 2019)

• 🗝 STA302 Methods of Data Analysis (Summer 2019)

• 🗝 MAT224 Linear Algebra II (Winter 2019)

• 🗝 MAT237 Advanced Calculus (Fall 2018 & Winter 2019), Made together with @tingfengx

  • With special comments about k-dimensional manifolds, which is more abstract than materials covered in lecture.

🗃 Archived Notes

• 🎓 CSC418 Computer Graphics (Summer 2020)
  • Raster Images
  • Ray Casting
  • Ray Tracing
  • Bounding Volume Hierachy
  • Triangle Meshes
  • Shader Pipeline
  • Mass-Spring Systems
• 🎓 CSC413 Neural Networks and Deep Learning (Winter 2020)
  • Introduction & Linear Models
  • Multilayer Perceptrons & Backpropagation
  • Automatic Differentiation & Distributed Representations
  • Optimization
  • Convolutional Neural Networks & Image Classification
• 🎓 CSC311 Introduction to Machine Learning (Fall 2019)
  • k-Means and EM Algorithm
  • Reinforcement Learning
• 🎓 STA261 (Winter 2019)
  • Converge in distribution
  • Normal Distribution Theory
  • Expectation and Covariance
  • Different Types of Estimation
  • Sampling Distributions
  • Consistent & Efficient Estimators
• 🎓 CSC263 Data Structures and Analysis (Winter 2019)
  • Some notes on AVL trees

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