Machine Learning

• Markov Chain Monte Carlo & Gibbs Sampling -- [09/2016]
• Recurrent Neural Networks -- [02/2017]
• Multiple Instance Learning -- [09/2016]
• Dealing with Non-differentiable losses in Supervised Learning -- [11-2017]
• Kickstarter Success Prediction : Feature Engineering Competition - Gist -- [11/2017]
• Feed Forward Network: TensorFlow - Code -- [02/2017]