Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Artificial neural network +Data clustering +Ulrike von Luxburg +Jupyter/notebook +Privacy and Deanonymization +Gradient descent -Neural network"

Positive matches

• 0.254 + - Machine learning
• 0.120 + - Class imbalance
• 0.066 + - Pathogen transmission
• 0.028 + - Deep learning
• 0.027 + - IPython notebook
• 0.026 + - Neuron
• 0.024 + - Recommender system
• 0.024 + - Brain network
• 0.021 + - Poker
• 0.015 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.014 + - IPython
• 0.012 + - SSH tunneling
• 0.011 + - Learning
• 0.010 + - Boosting (machine learning)
• 0.010 + - scikit-learn
• 0.008 + - Network alignment
• 0.007 + - Graph matching
• 0.007 + - Identity resolution
• 0.007 + - Social networks

Negative matches

• 0.020 + - Paper/Srivastava2014
• 0.009 + - Liquid state machine
• 0.007 + - Jack Terwilliger
• 0.007 + - word2vec
• 0.007 + - Neural Turing machine
• 0.007 + - Ilya Sutskever
• 0.006 + - Graph embedding
• 0.006 + - Recurrent neural network
• 0.005 + - Dropout
• 0.004 + - Hierarchical softmax
• 0.004 + - sense2vec
• 0.003 + - WordRank
• 0.002 + - Wolfgang Maass
• 0.002 + - Google
• 0.002 + - Natural language processing
• 0.002 + - Paper/Levy2014
• 0.002 + - Continuous embedding
• 0.002 + - Attention (Deep learning)
• 0.001 + - Paper/Hamilton2016
• 0.001 + - wiki2vec