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 -Language"

Positive matches

• 0.095 + - Class imbalance
• 0.034 + - Neural network
• 0.031 + - Neuron
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.013 + - Jupyter/notebook
• 0.011 + - Learning
• 0.011 + - IPython notebook
• 0.009 + - Boosting (machine learning)
• 0.009 + - Recommender system
• 0.007 + - Residual leanrning
• 0.007 + - Reinforcement learning
• 0.007 + - Future of work
• 0.007 + - Artificial neural network
• 0.006 + - Privacy and Deanonymization
• 0.006 + - Tom M. MItchell
• 0.006 + - Decision tree
• 0.006 + - Cluster analysis
• 0.006 + - Sargur Srihari
• 0.005 + - Image completion

Negative matches

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