Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +IPython +Cross validation -Paradox -Artificial neural network"

Positive matches

• 0.039 + - IPython notebook
• 0.027 + - Python/Modules
• 0.026 + - Probability
• 0.015 + - Recommender system
• 0.014 + - Jupyter/notebook
• 0.014 + - Gradient descent
• 0.014 + - Pajek
• 0.011 + - Geovisualization
• 0.010 + - SSH tunneling
• 0.010 + - Boosting (machine learning)
• 0.009 + - Learning
• 0.008 + - GNU Make
• 0.007 + - scikit-learn
• 0.007 + - Computer science
• 0.007 + - Privacy and Deanonymization
• 0.006 + - Python/Packaging
• 0.006 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.006 + - Machine learning for physical sciences
• 0.006 + - Kevin Murphy
• 0.006 + - Random forest

Negative matches

• 0.053 + - Deep learning
• 0.036 + - Simpson's paradox
• 0.024 + - Brain network
• 0.019 + - Probability, Paradox, and the Reasonable Person Principle
• 0.008 + - Spatial network
• 0.006 + - Aging brain
• 0.002 + - Network similarity
• 0.002 + - Multilayer network
• 0.002 + - Quoc Le
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Autoencoder
• 0.002 + - Differentiable neural computers
• 0.002 + - Generative adversarial network
• 0.002 + - Deep generative models
• 0.002 + - Residual Learning
• 0.001 + - Caenorhabditis elegans
• 0.001 + - Keras
• 0.001 + - Geoffrey Hinton
• 0.001 + - Jürgen Schmidhuber
• 0.001 + - Convolutional neural network