Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook -Class imbalance -Probability, Paradox, and the Reasonable Person Principle +Cross entropy -Yoav Freund +Recurrent neural network -David Feldman -Long short-term memory"

Positive matches

• 0.047 + - Lexical feature selection
• 0.033 + - Simpson's paradox
• 0.025 + - Gradient descent
• 0.023 + - Jupyter/notebook
• 0.021 + - Pointwise mutual information
• 0.020 + - Poker
• 0.018 + - Ron Meir
• 0.018 + - Rob Schapire
• 0.012 + - Data science
• 0.012 + - Neural network
• 0.012 + - SSH tunneling
• 0.011 + - IPython
• 0.011 + - Python
• 0.011 + - Recommender system
• 0.010 + - David MacKay
• 0.010 + - Information Theory, Inference, and Learning Algorithms
• 0.008 + - Gibbs' inequality
• 0.008 + - Kullback–Leibler divergence
• 0.008 + - Learning
• 0.007 + - Tomas Mikolov

Negative matches

• 0.008 + - Keras
• 0.008 + - Paper/Cooijmans2016
• 0.007 + - TensorFlow
• 0.006 + - Paper/Hochreiter1997
• 0.003 + - NLP
• 0.003 + - StanfordNLP
• 0.003 + - Class imbalance problem
• 0.002 + - Biomedical natural language processing
• 0.002 + - Yann LeCun
• 0.001 + - Aaron Courville
• 0.001 + - Residual Learning
• 0.001 + - Tim Cooijmans
• 0.001 + - RNN
• 0.001 + - Covariate shift
• 0.001 + - Nicolas Ballas
• 0.001 + - Convolutional neural network
• 0.001 + - Christopher D. Manning
• 0.001 + - Generative adversarial networks
• 0.001 + - GPU
• 0.001 + - Generative adversarial network