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 -EM algorithm -Ulrike von Luxburg +Neural network -Ilya Sutskever"

Positive matches

• 0.113 + - Class imbalance
• 0.031 + - Neuron
• 0.027 + - Recommender system
• 0.013 + - Learning
• 0.013 + - Privacy and Deanonymization
• 0.012 + - scikit-learn
• 0.012 + - IPython notebook
• 0.012 + - Boosting (machine learning)
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.009 + - Future of work
• 0.009 + - Neural Turing machine
• 0.009 + - Recurrent neural network
• 0.009 + - Deep learning
• 0.008 + - Jack Terwilliger
• 0.008 + - Regular expression
• 0.008 + - Regex
• 0.006 + - Paper/Srivastava2014
• 0.006 + - Decision tree
• 0.006 + - Paradox

Negative matches

• 0.015 + - Google
• 0.008 + - word2vec
• 0.007 + - Gensim
• 0.003 + - wiki2vec
• 0.003 + - Skip-gram
• 0.003 + - Dropout
• 0.002 + - Network geometry
• 0.002 + - Graph embedding
• 0.001 + - Archetype
• 0.001 + - Softmax function
• 0.001 + - Social media
• 0.001 + - Gender bias
• 0.001 + - Chris McCormick
• 0.000 + - Topic model
• 0.000 + - Paper/Levy2014a