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

Positive matches

• 0.060 + - Probability, Paradox, and the Reasonable Person Principle
• 0.051 + - Lexical feature selection
• 0.044 + - IPython
• 0.032 + - Polynote
• 0.031 + - Simpson's paradox
• 0.025 + - SSH tunneling
• 0.021 + - Paper/MacKay1991
• 0.021 + - Books
• 0.019 + - Probability
• 0.017 + - Ron Meir
• 0.015 + - Data science
• 0.014 + - Artemy Kolchinsky
• 0.013 + - Python
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - David Feldman
• 0.008 + - Pointwise mutual information
• 0.008 + - Gibbs' inequality
• 0.008 + - Kullback–Leibler divergence
• 0.008 + - Cross entropy
• 0.007 + - Learning

Negative matches

• 0.031 + - Neural network
• 0.029 + - Neuron
• 0.003 + - Class imbalance problem
• 0.002 + - word2vec
• 0.002 + - Liquid state machine
• 0.002 + - Ilya Sutskever
• 0.002 + - Recurrent neural network
• 0.001 + - Neural Turing machine
• 0.001 + - Jack Terwilliger
• 0.001 + - Paper/Levy2014a
• 0.001 + - Paper/Srivastava2014
• 0.001 + - Generative adversarial network
• 0.001 + - Wolfgang Maass
• 0.001 + - Tomas Mikolov
• 0.001 + - Leland McInnes
• 0.000 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.000 + - Weka