Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook -Rob Schapire +Class imbalance +Ron Meir +Class imbalance problem +Gradient descent +David Feldman +David MacKay +Poker -Neural network"

Positive matches

• 0.049 + - Probability, Paradox, and the Reasonable Person Principle
• 0.038 + - Lexical feature selection
• 0.028 + - Simpson's paradox
• 0.023 + - IPython
• 0.023 + - Probability
• 0.020 + - Books
• 0.019 + - Paper/MacKay1991
• 0.018 + - Neuron
• 0.015 + - Yoav Freund
• 0.014 + - SSH tunneling
• 0.013 + - SSH
• 0.013 + - Artemy Kolchinsky
• 0.012 + - Jupyter
• 0.012 + - Data science
• 0.011 + - Recommender system
• 0.009 + - Python
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - Cross entropy
• 0.007 + - Cross validation
• 0.007 + - Pointwise mutual information

Negative matches

• 0.015 + - Paper/Srivastava2014
• 0.007 + - Jack Terwilliger
• 0.006 + - Neural Turing machine
• 0.006 + - word2vec
• 0.006 + - Ilya Sutskever
• 0.005 + - Recurrent neural network
• 0.005 + - Liquid state machine
• 0.005 + - Dropout
• 0.004 + - Graph embedding
• 0.003 + - Gensim
• 0.002 + - Hierarchical softmax
• 0.002 + - sense2vec
• 0.002 + - Skip-gram
• 0.001 + - Tomas Mikolov
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Google
• 0.001 + - Chris McCormick
• 0.001 + - Attention (Deep learning)
• 0.001 + - Paper/Levy2014a
• 0.001 + - Paper/Levy2014