Blog

Date Title Description
Nov 19, 2022 TIL\(:\) Installing Python packages inside Jupyter Dealing with Import Error\(:\) No module named Name
Nov 13, 2022 Simple Neural Net Backward Pass Deriving the math of the backward pass for a simple neural net.
May 27, 2022 Exercises with Convex Sets Working through a few practice problems related to Convexity.
May 26, 2022 Losses Some notes while reading Barratt, Angeris, and Boyd (2021).
May 24, 2022 Lambert W What value of \(x\) satisfies \(x^x=2\).
Apr 10, 2022 McElreath Chapter 4 Working through a few practice problems on Linear Regression.
Mar 19, 2022 McElreath Chapter 3 Exercise problems from Chapter 3, Sampling the Imaginary, of [1].
Mar 11, 2022 McElreath Chapter 2 Exercise problems from Chapter 2, Small Worlds and Large Worlds, of [1].
Dec 11, 2021 Chvátal Chapter 2 Simplex Implementation A toy implementation of the Simplex algorithm for Linear Programming.
Dec 8, 2021 Chvátal Chapter 1 Problem 5 Work through a simple Linear Programming problem exercise.
Oct 25, 2021 Image Embeddings with fastai Exploring image embeddings with fastai
Oct 23, 2021 Reproducible runs with fastai How to replicate results from Fastai models.
Aug 27, 2021 Quadratic Curve Fit with Gradient Descent Example of using gradient descent to fit data.
Aug 14, 2021 Collaborative Filtering With Cross Entropy Loss Using Fastai for Collaborative Filtering on the Movie Lens dataset using cross-entropy loss.
Aug 12, 2021 Multi-Label Classification Using Fastai for Multi-Label classification.
Aug 7, 2021 A note on Cross Entropy loss with PyTorch Working through the Cross Entropy Loss function and it’s gradient.
Aug 6, 2021 MNIST: Distinguishing Threes from Sevens Using Fastai to classify threes and sevens from the MNIST dataset.
Jul 31, 2021 Bear Classification and Gradio Using Fastai to classify bears and demo-ing the result with gradio.
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