Math for Machines
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Recent Posts

  • Visualizing What Convnets Learn
  • Visualizing the Loss Landscape of a Neural Network
  • Getting Started with TPUs on Kaggle
  • Six Varieties of Gaussian Discriminant Analysis
  • Optimal Decision Boundaries
  • Least Squares with the Moore-Penrose Inverse
  • Understanding Eigenvalues and Singular Values
  • Visualizing Linear Transformations
  • What I'm Reading 1: Bayes and Means
  • investmentsim - an R Package for Simulating Investment Portfolios

Posts tagged "data-science"
  • Six Varieties of Gaussian Discriminant Analysis - April 19, 2020
  • Optimal Decision Boundaries - January 9, 2020
  • What I'm Reading 1: Bayes and Means - October 4, 2019
  • Bayesian Topic Modeling - January 30, 2019

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Math for Machines by Ryan Holbrook is licensed under a Creative Commons Attribution 4.0 International License.