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 +Kevin Murphy +https:/github.com/JohnLangford/vowpal wabbit/wiki +Deep learning +Neural network +Residual leanrning -word2vec"

Positive matches

• 0.061 + - Residual Learning
• 0.031 + - Neuron
• 0.025 + - Probability
• 0.023 + - Meta learning
• 0.019 + - Paradox
• 0.016 + - Paper/Srivastava2014
• 0.015 + - Learning
• 0.014 + - Language
• 0.014 + - Recommender system
• 0.011 + - Jupyter/notebook
• 0.011 + - IPython notebook
• 0.010 + - Probability, Paradox, and the Reasonable Person Principle
• 0.010 + - Dropout
• 0.009 + - Recurrent neural network
• 0.009 + - Liquid state machine
• 0.009 + - Artificial neural network
• 0.009 + - Neural Turing machine
• 0.008 + - GraphLab
• 0.007 + - Jack Terwilliger
• 0.007 + - Privacy and Deanonymization

Negative matches

• 0.010 + - Softmax function
• 0.008 + - Network geometry
• 0.008 + - Graph embedding
• 0.004 + - Softmax
• 0.003 + - tf-idf
• 0.003 + - Gender bias
• 0.003 + - Paper/Hamilton2016
• 0.003 + - WordRank
• 0.003 + - GloVe
• 0.003 + - Clinical concept embedding
• 0.003 + - Paper/Perozzi2014
• 0.003 + - Continuous embedding
• 0.002 + - Word embedding
• 0.002 + - tfidf
• 0.002 + - wiki2vec
• 0.002 + - Skip-gram
• 0.001 + - Paper/Levy2014
• 0.001 + - sense2vec
• 0.001 + - Paper/Levy2014a
• 0.001 + - Chris McCormick