• Bayesian 1
• CNNs 1
• DrivenData 1
• House Prices 1
• Kaggle 2
• LASSO 1
• TensorFlow 1
• Titanic 1
• XGBoost 1
• deep learning 3
• gradient descent 2
• logistic regression 1
• machine learning 3
• maximum likelihood 1
• neural networks 3
• python 8
• random forest 2
• regression 1
• theano 1

Bayesian

• Bayesian A/B testing with Thompson sampling

CNNs

• Convolutional Neural Networks with TensorFlow

DrivenData

• Predicting status of Tanzanian water pumps

House Prices

• Predicting house prices using model blending

Kaggle

• Predicting house prices using model blending
• Who will survive the shipwreck?!

LASSO

• Predicting house prices using model blending

TensorFlow

• Convolutional Neural Networks with TensorFlow

Titanic

• Who will survive the shipwreck?!

XGBoost

• Predicting house prices using model blending

deep learning

• Convolutional Neural Networks with TensorFlow
• Theano with RMSProp and momentum
• Neural networks

gradient descent

• Neural networks
• Maximum likelihood and gradient descent demonstration

logistic regression

• Maximum likelihood and gradient descent demonstration

machine learning

• Predicting house prices using model blending
• Who will survive the shipwreck?!
• Predicting status of Tanzanian water pumps

maximum likelihood

• Maximum likelihood and gradient descent demonstration

neural networks

• Convolutional Neural Networks with TensorFlow
• Theano with RMSProp and momentum
• Neural networks

python

• Convolutional Neural Networks with TensorFlow
• Bayesian A/B testing with Thompson sampling
• Theano with RMSProp and momentum
• Neural networks
• Maximum likelihood and gradient descent demonstration
• Predicting house prices using model blending
• Who will survive the shipwreck?!
• Predicting status of Tanzanian water pumps

random forest

• Who will survive the shipwreck?!
• Predicting status of Tanzanian water pumps

regression

• Predicting house prices using model blending

theano

• Theano with RMSProp and momentum