Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Probability +David MacKay +Class imbalance problem +Rob Schapire -Probability, Paradox, and the Reasonable Person Principle -Simpson's paradox +Poker -Gradient descent"

Positive matches

• 0.087 + - Class imbalance
• 0.049 + - Lexical feature selection
• 0.022 + - Jupyter/notebook
• 0.021 + - Paper/MacKay1991
• 0.021 + - Books
• 0.021 + - Probability theory
• 0.021 + - Probability distribution
• 0.017 + - Ron Meir
• 0.016 + - Yoav Freund
• 0.013 + - SSH tunneling
• 0.012 + - IPython
• 0.012 + - Python
• 0.011 + - Data science
• 0.009 + - Cross entropy
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.008 + - David Feldman
• 0.008 + - Pointwise mutual information
• 0.008 + - Gibbs' inequality
• 0.008 + - Kullback–Leibler divergence
• 0.007 + - Learning

Negative matches

• 0.031 + - Neural network
• 0.027 + - Neuron
• 0.003 + - Ilya Sutskever
• 0.002 + - word2vec
• 0.001 + - Neural Turing machine
• 0.001 + - Liquid state machine
• 0.001 + - Chris McCormick
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Paper/Levy2014a
• 0.001 + - Paper/Srivastava2014
• 0.001 + - Wolfgang Maass
• 0.000 + - Recurrent neural network