Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin -Probability, Paradox, and the Reasonable Person Principle +Weka +Probability +Training dataset +Poker +Neural network -Ilya Sutskever"

Positive matches

• 0.106 + - Class imbalance
• 0.024 + - Probability theory
• 0.024 + - Probability distribution
• 0.023 + - Gradient descent
• 0.014 + - Jupyter/notebook
• 0.013 + - IPython notebook
• 0.012 + - Recommender system
• 0.011 + - Learning
• 0.010 + - Boosting (machine learning)
• 0.009 + - Neural Turing machine
• 0.008 + - Liquid state machine
• 0.007 + - Jack Terwilliger
• 0.007 + - Future of work
• 0.007 + - Privacy and Deanonymization
• 0.007 + - Recurrent neural network
• 0.005 + - Paradox
• 0.005 + - Regular expression
• 0.004 + - Tom M. MItchell
• 0.004 + - GraphLab
• 0.004 + - Decision tree

Negative matches

• 0.033 + - Deep learning
• 0.016 + - Google
• 0.007 + - word2vec
• 0.004 + - Dropout
• 0.003 + - Skip-gram
• 0.003 + - Tomas Mikolov
• 0.002 + - Gensim
• 0.002 + - Archetype
• 0.002 + - Network geometry
• 0.002 + - WordRank
• 0.002 + - sense2vec
• 0.001 + - Graph embedding
• 0.001 + - Word embedding
• 0.001 + - Neuron
• 0.001 + - TensorFlow
• 0.001 + - Paper/Levy2014
• 0.001 + - Embedded topic model
• 0.001 + - Finkbeiner test
• 0.001 + - wiki2vec
• 0.000 + - Residual Learning