/Bayesian-Methods-for-Machine-Learning

Bayesian Methods for Machine Learning

Primary LanguageJupyter Notebook

Bayesian-Methods-for-Machine-Learning

Bayesian Methods for Machine Learning As part of this Coursera spetialization we implemented different algorithms like:

  • Expectation maximization for Gaussian Mixture Models (GMMs)
  • Applied Variational Inference in a Variational AutoEncoder (VAE) architecture using Convolutional Networks
  • Implemented a basic Monte Carlo Simulation to estimate probabilities and used MCMC to perform inference using PyMC3
  • Performed regression tasks and hyperparameters optimization using Gaussian Processes.

All the assignments were done in Ipython notebooks.