Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare -Data clustering +Gradient descent +Privacy and Deanonymization +Neuron -Ilya Sutskever"

Positive matches

• 0.124 + - Class imbalance
• 0.092 + - Neural network
• 0.064 + - Pathogen transmission
• 0.031 + - Recommender system
• 0.024 + - Ulrike von Luxburg
• 0.016 + - scikit-learn
• 0.014 + - Learning
• 0.014 + - Boosting (machine learning)
• 0.013 + - Jupyter/notebook
• 0.012 + - IPython notebook
• 0.012 + - Poker
• 0.010 + - Regex
• 0.009 + - Future of work
• 0.009 + - Graph matching
• 0.008 + - Deep learning
• 0.008 + - Network alignment
• 0.007 + - Computer science
• 0.007 + - Identity resolution
• 0.007 + - Social networks
• 0.007 + - Link prediction

Negative matches

• 0.018 + - Paper/Srivastava2014
• 0.017 + - Google
• 0.016 + - word2vec
• 0.007 + - Dropout
• 0.006 + - Graph embedding
• 0.005 + - Skip-gram
• 0.005 + - Tomas Mikolov
• 0.004 + - sense2vec
• 0.003 + - WordRank
• 0.003 + - Gensim
• 0.002 + - Hierarchical softmax
• 0.002 + - Network geometry
• 0.002 + - wiki2vec
• 0.002 + - Paper/Levy2014
• 0.002 + - Softmax function
• 0.002 + - Archetype
• 0.001 + - Word embedding
• 0.000 + - Paper/Hochreiter1997
• 0.000 + - Embedded topic model
• 0.000 + - Finkbeiner test