Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook -Class imbalance +David Feldman -Simpson's paradox +Gradient descent +Data science -Ron Meir -Poker -Neural network"

Positive matches

• 0.051 + - Lexical feature selection
• 0.051 + - Probability, Paradox, and the Reasonable Person Principle
• 0.026 + - Computational social science
• 0.021 + - Neuron
• 0.021 + - Jupyter/notebook
• 0.019 + - Probability
• 0.017 + - Yoav Freund
• 0.015 + - Rob Schapire
• 0.013 + - SSH tunneling
• 0.013 + - IPython
• 0.011 + - Python
• 0.010 + - Industry-Academic Partnership
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - David MacKay
• 0.009 + - Data
• 0.008 + - Pointwise mutual information
• 0.008 + - Gibbs' inequality
• 0.008 + - Cross entropy
• 0.008 + - Kullback–Leibler divergence
• 0.008 + - Interdisciplinary research

Negative matches

• 0.019 + - Paper/Srivastava2014
• 0.007 + - Jack Terwilliger
• 0.007 + - Neural Turing machine
• 0.006 + - Recurrent neural network
• 0.006 + - Ilya Sutskever
• 0.006 + - Liquid state machine
• 0.006 + - word2vec
• 0.005 + - Dropout
• 0.004 + - Graph embedding
• 0.003 + - Hierarchical softmax
• 0.003 + - sense2vec
• 0.003 + - Class imbalance problem
• 0.002 + - wiki2vec
• 0.002 + - Skip-gram
• 0.002 + - Gensim
• 0.002 + - Google
• 0.002 + - Paper/Graves2014NTM
• 0.001 + - Tomas Mikolov
• 0.001 + - Paper/Hamilton2016
• 0.001 + - WordRank