Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin -Probability, Paradox, and the Reasonable Person Principle +Weka +Probability +Training dataset +Deep learning +Poker +Gradient descent -Class imbalance +Neuron -Recurrent neural network"

Positive matches

• 0.085 + - Neural network
• 0.020 + - Probability theory
• 0.020 + - Probability distribution
• 0.015 + - Language
• 0.014 + - Recommender system
• 0.011 + - IPython notebook
• 0.011 + - Jupyter/notebook
• 0.007 + - Residual leanrning
• 0.006 + - Learning
• 0.006 + - Boosting (machine learning)
• 0.005 + - scikit-learn
• 0.005 + - Artificial neural network
• 0.005 + - Kevin Murphy
• 0.005 + - GraphLab
• 0.004 + - Privacy and Deanonymization
• 0.004 + - Regex
• 0.004 + - Regular expression
• 0.004 + - Future of work
• 0.003 + - Stability selection
• 0.003 + - Archetype

Negative matches

• 0.007 + - Musical composition
• 0.007 + - Attention
• 0.007 + - LSTM
• 0.007 + - Tomas Mikolov
• 0.007 + - RNN
• 0.006 + - Natural language processing
• 0.005 + - Computational creativity
• 0.005 + - Attention (Deep learning)
• 0.003 + - Long short-term memory
• 0.002 + - StanfordNLP
• 0.002 + - Biomedical natural language processing
• 0.001 + - Lexical feature selection
• 0.001 + - Paper/Cooijmans2016
• 0.001 + - Latent Dirichlet allocation
• 0.001 + - Skip-gram
• 0.001 + - Paper/Srivastava2014
• 0.001 + - KenLM
• 0.001 + - Covariate shift
• 0.001 + - Paper/Bahdanau2015
• 0.000 + - fastText