Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Artificial neural network +Data clustering +Privacy and Deanonymization +Deep learning +Residual leanrning +Machine learning +GraphLab -Language"

Positive matches

• 0.115 + - Class imbalance
• 0.072 + - Residual Learning
• 0.061 + - Pathogen transmission
• 0.030 + - Meta learning
• 0.026 + - Gradient descent
• 0.024 + - Ulrike von Luxburg
• 0.024 + - Recommender system
• 0.023 + - Brain network
• 0.022 + - Network analysis libraries
• 0.021 + - Learning
• 0.014 + - Boosting (machine learning)
• 0.013 + - IPython notebook
• 0.012 + - Reinforcement learning
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.009 + - scikit-learn
• 0.008 + - Graph matching
• 0.008 + - Future of work
• 0.007 + - Neural doodle
• 0.007 + - Network alignment

Negative matches

• 0.005 + - Metaphor
• 0.005 + - Linguistic relativity
• 0.005 + - Language detection
• 0.005 + - WALS
• 0.005 + - Language of thought
• 0.005 + - English language
• 0.005 + - Linguistic network
• 0.005 + - Zipf's law
• 0.005 + - Home
• 0.005 + - Language development
• 0.005 + - Happinness
• 0.005 + - Evolution of language
• 0.004 + - Linguistic diversity
• 0.002 + - Convolutional Neural Network
• 0.002 + - Power law
• 0.001 + - Allometry
• 0.001 + - Pareto principle
• 0.000 + - Variational Autoencoder
• 0.000 + - Urbanization
• 0.000 + - Machine translation