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 +Artificial neural network -Neural network"

Positive matches

• 0.122 + - Class imbalance
• 0.063 + - Pathogen transmission
• 0.031 + - Deep learning
• 0.029 + - Recommender system
• 0.024 + - Ulrike von Luxburg
• 0.022 + - Brain network
• 0.014 + - Boosting (machine learning)
• 0.013 + - scikit-learn
• 0.012 + - Learning
• 0.012 + - Future of work
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.010 + - IPython notebook
• 0.009 + - Link prediction
• 0.009 + - Regular expression
• 0.008 + - Network alignment
• 0.007 + - Aging brain
• 0.007 + - Graph matching
• 0.007 + - Regex
• 0.007 + - Identity resolution

Negative matches

• 0.022 + - Paper/Srivastava2014
• 0.008 + - word2vec
• 0.006 + - Dropout
• 0.005 + - Ilya Sutskever
• 0.005 + - Jack Terwilliger
• 0.005 + - Neural Turing machine
• 0.004 + - Graph embedding
• 0.004 + - Liquid state machine
• 0.004 + - Recurrent neural network
• 0.003 + - Hierarchical softmax
• 0.002 + - Skip-gram
• 0.002 + - Gensim
• 0.001 + - sense2vec
• 0.001 + - Google
• 0.001 + - wiki2vec
• 0.001 + - Paper/Levy2014
• 0.001 + - Continuous embedding
• 0.001 + - Natural language processing
• 0.001 + - String metric
• 0.001 + - NLTK