Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Gradient descent +One-shot learning +Neuron +Artificial neural network +Image completion +Generative adversarial network +GraphLab +Generative adversarial networks -Network analysis libraries"

Positive matches

• 0.087 + - Neural network
• 0.057 + - Deep learning
• 0.020 + - Probability
• 0.020 + - Brain network
• 0.016 + - Meta learning
• 0.016 + - Recommender system
• 0.015 + - Paradox
• 0.014 + - Autoencoder
• 0.013 + - IPython notebook
• 0.013 + - Language
• 0.012 + - Paper/Goodfellow2014
• 0.011 + - Differentiable neural computers
• 0.010 + - Boosting (machine learning)
• 0.010 + - Jupyter/notebook
• 0.010 + - Neural doodle
• 0.010 + - Learning
• 0.009 + - Probability, Paradox, and the Reasonable Person Principle
• 0.009 + - Residual Learning
• 0.008 + - Privacy and Deanonymization
• 0.008 + - Recurrent neural network

Negative matches

• 0.009 + - Link analysis
• 0.006 + - Simplicial complex
• 0.004 + - Complex systems
• 0.004 + - Dynamical system
• 0.004 + - Stanford Network Analysis Platform
• 0.004 + - Apache Spark
• 0.004 + - Erlang
• 0.004 + - Cassovary
• 0.004 + - Boost
• 0.004 + - Anaconda (Python)
• 0.004 + - APGL
• 0.004 + - NetworkX
• 0.004 + - Conedy
• 0.004 + - Python
• 0.004 + - GraphChi
• 0.004 + - Network science
• 0.004 + - igraph
• 0.004 + - GraphX
• 0.001 + - https://github.com/twitter/cassovary
• 0.001 + - Social network analysis