Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +Deep learning +Residual leanrning +Probability +Paradox -Language"

Positive matches

• 0.068 + - Residual Learning
• 0.067 + - Probability, Paradox, and the Reasonable Person Principle
• 0.033 + - Simpson's paradox
• 0.025 + - Meta learning
• 0.022 + - Probability theory
• 0.022 + - Probability distribution
• 0.018 + - Pajek
• 0.015 + - Learning
• 0.015 + - IPython notebook
• 0.014 + - Jupyter/notebook
• 0.012 + - Reinforcement learning
• 0.010 + - Gradient descent
• 0.008 + - GraphLab
• 0.007 + - Artificial neural network
• 0.006 + - Recommender system
• 0.006 + - Decision tree
• 0.006 + - Boosting (machine learning)
• 0.006 + - Kevin Murphy
• 0.006 + - Cross validation
• 0.006 + - Python#Modules_.26_Libraries

Negative matches

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