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 +Gradient descent +IPython notebook +Paradox +Tom M. MItchell +Python -Neural network"

Positive matches

• 0.060 + - Residual Learning
• 0.045 + - Probability, Paradox, and the Reasonable Person Principle
• 0.029 + - Simpson's paradox
• 0.028 + - Probability
• 0.024 + - Meta learning
• 0.022 + - Jupyter/notebook
• 0.018 + - Neuron
• 0.013 + - Learning
• 0.013 + - Language
• 0.012 + - Pajek
• 0.012 + - IPython
• 0.010 + - SSH tunneling
• 0.010 + - Data science
• 0.009 + - Recommender system
• 0.008 + - GraphLab
• 0.008 + - Artificial neural network
• 0.007 + - Geovisualization
• 0.006 + - Michael I. Jordan
• 0.006 + - Cross validation
• 0.006 + - Cluster analysis

Negative matches

• 0.016 + - Paper/Srivastava2014
• 0.007 + - Jack Terwilliger
• 0.007 + - Ilya Sutskever
• 0.006 + - Neural Turing machine
• 0.006 + - Liquid state machine
• 0.004 + - word2vec
• 0.004 + - Graph embedding
• 0.004 + - Recurrent neural network
• 0.003 + - Gensim
• 0.003 + - Tomas Mikolov
• 0.002 + - Hierarchical softmax
• 0.002 + - Dropout
• 0.002 + - Skip-gram
• 0.001 + - Google
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Chris McCormick
• 0.001 + - Paper/Levy2014a
• 0.001 + - sense2vec
• 0.001 + - Paper/Levy2014
• 0.001 + - Wolfgang Maass