Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare -Data clustering +Gradient descent -EM algorithm -Recommender system -Neuron"

Positive matches

• 0.107 + - Class imbalance
• 0.025 + - Ulrike von Luxburg
• 0.015 + - IPython notebook
• 0.015 + - scikit-learn
• 0.013 + - Learning
• 0.012 + - Boosting (machine learning)
• 0.012 + - Poker
• 0.012 + - Jupyter/notebook
• 0.008 + - Privacy and Deanonymization
• 0.008 + - Regex
• 0.007 + - Random forest
• 0.006 + - Computer science
• 0.006 + - Stability selection
• 0.005 + - Andrew Ng
• 0.005 + - Deep learning
• 0.005 + - Artificial neural network
• 0.005 + - Machine learning for physical sciences
• 0.005 + - Regular expression
• 0.005 + - Image completion
• 0.004 + - Decision tree

Negative matches

• 0.034 + - Netflix prize
• 0.033 + - Neural network
• 0.001 + - Gender bias
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Paper/Levy2014a
• 0.001 + - Natural language processing
• 0.001 + - GloVe
• 0.001 + - Clinical concept embedding
• 0.001 + - Long short-term memory
• 0.001 + - Paper/Perozzi2014
• 0.001 + - Google
• 0.001 + - Chris McCormick
• 0.001 + - Attention (Deep learning)
• 0.000 + - Greg Wayne
• 0.000 + - Christopher D. Manning
• 0.000 + - Rami Al-Rfou
• 0.000 + - Ivo Danihelka
• 0.000 + - KoNLPy
• 0.000 + - Sentiment analysis
• 0.000 + - Paper