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 -Paradox -Weka -GraphLab"

Positive matches

• 0.025 + - Probability
• 0.019 + - Gradient descent
• 0.015 + - IPython notebook
• 0.014 + - Recommender system
• 0.013 + - Jupyter/notebook
• 0.012 + - Pajek
• 0.010 + - GNU Make
• 0.010 + - Geovisualization
• 0.010 + - scikit-learn
• 0.009 + - Boosting (machine learning)
• 0.007 + - Random forest
• 0.006 + - Decision tree
• 0.006 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.006 + - Learning
• 0.006 + - Kevin Murphy
• 0.006 + - Privacy and Deanonymization
• 0.006 + - Javascript
• 0.006 + - One-shot learning
• 0.006 + - Tom M. MItchell
• 0.006 + - Michael I. Jordan

Negative matches

• 0.054 + - Deep learning
• 0.036 + - Simpson's paradox
• 0.024 + - Probability, Paradox, and the Reasonable Person Principle
• 0.022 + - Network analysis libraries
• 0.008 + - Meta learning
• 0.006 + - Neural doodle
• 0.006 + - Deep generative models
• 0.004 + - Language
• 0.002 + - Beer
• 0.002 + - Attention (Deep learning)
• 0.002 + - Paper/Gatys2015
• 0.002 + - Dropout
• 0.002 + - Generative adversarial network
• 0.002 + - Amazon Elastic Compute Cloud
• 0.001 + - Theano
• 0.001 + - Attention
• 0.001 + - Brain and deep learning
• 0.001 + - Differentiable neural computers
• 0.001 + - Residual leanrning
• 0.001 + - Amazon Web Services