Nipun Batra

Lecture 10: Monte Carlo Sampling, Sampling from common distributions

Support Vector Machines 3: Soft Margin SVM

NERDTree on VIM on the iPAD (with Python-based git implementation!)

Running Python on the iPad using VIM editor and a-shell app

Lecture 9: Monte Carlo Sampling

Lecture 10: Monte Carlo Sampling, Sampling from common distributions

Lecture 19: Next token prediction using MLPs

Lecture 31: Overall revision (quick walk through of previous 30 lectures)

Using FFMPEG on the iPad to extract audio from video using a-shell

Lecture 17: Neural Networks I

Lecture 3: The Process API (fork, wait, exec)

Nipun Batra Keynote ACM Compass 2024 Doctoral Consortium

Jupyter Widgets Tutorial: Transform Your Python Code from Static to Dynamic

Lecture 28 + Tutorial: SVM II (Kernel trick)

Lecture 12: Stochastic Gradient Descent

Introduction to Streamlit: Local execution, Deploy to Hugging Face, PyTorch distributions

Lecture 10: Linear Regression III Dummy Variables and Multi-colinearity

Lecture 22: Convolutional Neural Network II

Lecture 11 + Tutorial 4: Gradient Descent I

Gaussian Processes Practical Demonstration

Lecture 30: Soft margin SVM

Lecture 29 and tutorial: SVM solution via QP; Kernels as measure of similarity

Lecture 24: Reinforcement Learning

Lecture 26 +. Tutorial: Approximate KNN

Lecture 18: Neural Networks II (Guest lecture Zeel B Patel)

Lecture 20: Autograd

Lecture 21: Convolutional Neural Network I

Lecture 10: Linear Regression III Geometric Interpretation

Lecture 13, Tutorial 5: Matrix Factorisation, Movie Recommendation

Lecture 25: Unsupervised Learning

Lecture 14: Regularized linear regression

Lecture 16: Logistic Regression II

Lecture 27: Support Vector Machines I

Lecture 15: Logistic Regression I

iPad Shortcut 2: Filtering Files, Merge PDFs, Create GIFs