Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +Machine learning for physical sciences -Weka +Jupyter/notebook +Deep learning -Language"

Positive matches

• 0.029 + - Paradox
• 0.026 + - IPython notebook
• 0.026 + - Probability
• 0.019 + - Probability, Paradox, and the Reasonable Person Principle
• 0.019 + - Gradient descent
• 0.016 + - IPython
• 0.015 + - Pajek
• 0.015 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.013 + - Recommender system
• 0.010 + - Boosting (machine learning)
• 0.009 + - scikit-learn
• 0.009 + - Data science
• 0.008 + - Residual leanrning
• 0.008 + - Random forest
• 0.007 + - Artificial neural network
• 0.007 + - Reinforcement learning
• 0.007 + - SSH tunneling
• 0.007 + - Learning
• 0.007 + - GraphLab

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