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项目作者： rogertrullo

项目描述 ：
Bayesian Methods for Machine Learning
高级语言： Jupyter Notebook
项目地址: git://github.com/rogertrullo/Bayesian-Methods-for-Machine-Learning.git


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.