Jun 13, 2021 | Machine Learning coursesML & Stats inmath |

Jun 1, 2021 | Topics in Bayesian Machine LearningML & Stats inmath |

May 12, 2021 | Mathematics OverviewOverview inmath |

May 9, 2021 | The Gaussian CheatsheetML & Stats inmath |

Dec 28, 2020 | The Gibbs distribution and general BayesML & Stats inmath |

Nov 17, 2020 | Why is Bayesian inference hard?ML & Stats inmath |

Nov 13, 2020 | Machine Learning literatureML & Stats inmath |

Nov 10, 2020 | IntegraphsUncategorized inmath |

Oct 18, 2020 | Topics in Numerical Linear AlgebraLinear Algebra inmath |

Sep 28, 2020 | Orthogonal projectors and linear regressionLinear Algebra inmath |

Aug 30, 2020 | Discovering Taylor series the hard wayLinear Algebra inmath |

Aug 26, 2020 | Machine Learning Talks & WorkshopsML & Stats inmath |

Aug 24, 2020 | Linear Algebra Done RightLinear Algebra inmath |

Aug 23, 2020 | ML FragmentsResearch inmath |

Jul 10, 2020 | An Introduction to Epipolar GeometryComputer vision inmath |

Jul 5, 2020 | RL: Tricks of the TradeResearch inmath |

Feb 2, 2020 | Deriving the Cross Entropy MethodReinforcement learning inmath |

Mar 17, 2019 | The Stein GradientML & Stats inmath |

May 21, 2018 | Policy Gradients in a NutshellReinforcement learning inmath |

Feb 6, 2018 | When does SGD work well?ML & Stats inmath |

Dec 4, 2017 | The beauty of Bayesian LearningML & Stats inmath |

Oct 15, 2017 | Visualizing the Confusion MatrixML & Stats inmath |

Oct 8, 2017 | The magic of Automatic DifferentiationML & Stats inmath |

Jul 18, 2017 | A Primer on Projective GeometryComputer vision inmath |

Jun 24, 2017 | Introduction to RANSACComputer vision inmath |