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 +Future of work -Artificial intelligence +Gradient descent +Complex systems +Recommender system -Neural network"

Positive matches

• 0.126 + - Class imbalance
• 0.035 + - Netflix prize
• 0.024 + - Neuron
• 0.024 + - Ulrike von Luxburg
• 0.024 + - Data clustering
• 0.022 + - Nonlinear dynamics
• 0.022 + - Network science
• 0.019 + - Learning
• 0.015 + - Privacy and Deanonymization
• 0.015 + - Boosting (machine learning)
• 0.012 + - Jupyter/notebook
• 0.011 + - scikit-learn
• 0.011 + - IPython notebook
• 0.011 + - Erik Brynjolfsson
• 0.011 + - Tom Mitchell
• 0.011 + - Poker
• 0.011 + - Technological unemployment
• 0.011 + - Skill gap
• 0.009 + - Regular expression
• 0.009 + - Artificial neural network

Negative matches

• 0.022 + - Paper/Srivastava2014
• 0.019 + - Alan Turing
• 0.007 + - Jack Terwilliger
• 0.007 + - word2vec
• 0.007 + - Neural Turing machine
• 0.006 + - Liquid state machine
• 0.006 + - Ilya Sutskever
• 0.005 + - Dropout
• 0.005 + - Recurrent neural network
• 0.004 + - Graph embedding
• 0.003 + - Gensim
• 0.003 + - Hierarchical softmax
• 0.003 + - Skip-gram
• 0.003 + - Tomas Mikolov
• 0.001 + - sense2vec
• 0.001 + - Wolfgang Maass
• 0.001 + - Google
• 0.001 + - TensorFlow
• 0.001 + - wiki2vec
• 0.001 + - Paper/Levy2014