Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook -Simpson's paradox +Cross entropy +Recommender system +Probability, Paradox, and the Reasonable Person Principle +Data science +Gradient descent -Neural network"

Positive matches

• 0.062 + - Lexical feature selection
• 0.040 + - Probability
• 0.036 + - Class imbalance
• 0.036 + - Class imbalance problem
• 0.033 + - Netflix prize
• 0.028 + - Computational social science
• 0.027 + - IPython
• 0.027 + - Poker
• 0.025 + - Pointwise mutual information
• 0.021 + - Neuron
• 0.020 + - SSH tunneling
• 0.018 + - Yoav Freund
• 0.017 + - Ron Meir
• 0.017 + - Rob Schapire
• 0.016 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.011 + - Python
• 0.011 + - Learning
• 0.010 + - Industry-Academic Partnership
• 0.009 + - Data

Negative matches

• 0.018 + - Paper/Srivastava2014
• 0.006 + - Jack Terwilliger
• 0.006 + - Liquid state machine
• 0.006 + - word2vec
• 0.006 + - Neural Turing machine
• 0.005 + - Recurrent neural network
• 0.005 + - Dropout
• 0.004 + - Graph embedding
• 0.004 + - Ilya Sutskever
• 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
• 0.001 + - Paper/Hamilton2016