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 +Boosting (machine learning) +Learning -Rob Schapire +Paradox +Random forest +Gradient descent -Neural network"

Positive matches

• 0.257 + - Machine learning
• 0.120 + - Class imbalance
• 0.040 + - Deep learning
• 0.031 + - Simpson's paradox
• 0.023 + - Recommender system
• 0.023 + - Decision tree
• 0.022 + - scikit-learn
• 0.021 + - Ulrike von Luxburg
• 0.021 + - Brain network
• 0.020 + - Neuron
• 0.016 + - Yoav Freund
• 0.016 + - How to study
• 0.016 + - Ron Meir
• 0.016 + - Gilles Louppe
• 0.016 + - Michael Ramscar
• 0.012 + - IPython notebook
• 0.012 + - Future of work
• 0.011 + - tf-idf
• 0.011 + - Jupyter/notebook
• 0.010 + - Poker

Negative matches

• 0.018 + - Paper/Srivastava2014
• 0.008 + - Jack Terwilliger
• 0.006 + - Liquid state machine
• 0.006 + - Neural Turing machine
• 0.005 + - Recurrent neural network
• 0.005 + - Dropout
• 0.004 + - Ilya Sutskever
• 0.004 + - Probability
• 0.004 + - Graph embedding
• 0.003 + - word2vec
• 0.003 + - Hierarchical softmax
• 0.003 + - sense2vec
• 0.003 + - wiki2vec
• 0.002 + - Skip-gram
• 0.002 + - WordRank
• 0.002 + - Google
• 0.002 + - Attention (Deep learning)
• 0.002 + - Gensim
• 0.001 + - Tomas Mikolov
• 0.001 + - Paper/Levy2014