Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Probability +David MacKay +Class imbalance +Information Theory, Inference, and Learning Algorithms +Recommender system -Netflix prize +Lexical feature selection -Class imbalance problem +Gradient descent -Neural network"

Positive matches

• 0.063 + - Probability, Paradox, and the Reasonable Person Principle
• 0.047 + - Books
• 0.028 + - Simpson's paradox
• 0.025 + - Data analysis
• 0.021 + - Pointwise mutual information
• 0.020 + - Jupyter/notebook
• 0.019 + - Paper/MacKay1991
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.018 + - Text analysis
• 0.018 + - Neuron
• 0.017 + - tf-idf
• 0.017 + - Poker
• 0.015 + - Rob Schapire
• 0.015 + - Yoav Freund
• 0.015 + - Ron Meir
• 0.013 + - Natural language processing
• 0.012 + - IPython
• 0.011 + - Python
• 0.010 + - SSH tunneling

Negative matches

• 0.015 + - Paper/Srivastava2014
• 0.007 + - Jack Terwilliger
• 0.006 + - Neural Turing machine
• 0.006 + - Ilya Sutskever
• 0.005 + - Liquid state machine
• 0.005 + - Dropout
• 0.005 + - word2vec
• 0.004 + - Recurrent neural network
• 0.004 + - Graph embedding
• 0.002 + - Hierarchical softmax
• 0.002 + - Gensim
• 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