Courses

Teaching

Bayesian Statistics for Machine Learning

📅 2018 & 2019 🏛️ Bachelor Kunstmatige Intelligentie, University of Amsterdam 📋 Code: 5082PTFM6Y · 6EC · Semester 1, Period 1

Each lecture covers 6 hours of material.

  • 01

    Basic Probability

    Probability spaces, PMFs, PDFs, joint and conditional probability, sum and product rule, Bayes' theorem

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  • 02

    Random Variables

    Expectations, moments, common distributions, estimators

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  • 03

    Manipulating Random Variables

    Moment generating functions, transformations of random variables

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  • 04

    Maximum Likelihood

    Gradient descent, the exponential family

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  • 05

    Bayesian Inference

    The Bent Coin, conjugacy

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  • 06

    Model Comparison

    The evidence, Bayesian linear regression, mixture models

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UCL Machine Vision

📅 2016 — 2017 🏛️ University College London 📋 COMPGI14/COMPM054 · Michaelmas Term