Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook -Class imbalance problem +Artemy Kolchinsky -Ron Meir +Lexical feature selection -Probability, Paradox, and the Reasonable Person Principle -Gradient descent"

Positive matches

• 0.033 + - Simpson's paradox
• 0.032 + - Poker
• 0.026 + - Data analysis
• 0.025 + - Pointwise mutual information
• 0.025 + - IPython
• 0.022 + - Text analysis
• 0.020 + - Data science
• 0.018 + - Yoav Freund
• 0.018 + - SSH tunneling
• 0.018 + - Rob Schapire
• 0.017 + - tf-idf
• 0.016 + - Natural language processing
• 0.014 + - Python
• 0.014 + - Jupyter
• 0.011 + - Information Theory, Inference, and Learning Algorithms
• 0.011 + - David MacKay
• 0.010 + - David Feldman
• 0.010 + - Cross entropy
• 0.008 + - Gibbs' inequality
• 0.008 + - Kullback–Leibler divergence

Negative matches

• 0.041 + - Class imbalance
• 0.033 + - Neural network
• 0.030 + - Neuron
• 0.002 + - Liquid state machine
• 0.002 + - Neural Turing machine
• 0.002 + - Jack Terwilliger
• 0.001 + - WordRank
• 0.001 + - Attention (Deep learning)
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Recurrent neural network
• 0.000 + - Ilya Sutskever