Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook -Rob Schapire -David Feldman +Gradient descent -Probability, Paradox, and the Reasonable Person Principle +Ron Meir -Neuron"

Positive matches

• 0.050 + - Lexical feature selection
• 0.036 + - Class imbalance problem
• 0.034 + - Poker
• 0.033 + - Simpson's paradox
• 0.026 + - Class imbalance
• 0.025 + - IPython
• 0.020 + - Data science
• 0.019 + - SSH tunneling
• 0.018 + - Yoav Freund
• 0.014 + - Python
• 0.014 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.010 + - Information Theory, Inference, and Learning Algorithms
• 0.010 + - David MacKay
• 0.010 + - Cross entropy
• 0.008 + - Pointwise mutual information
• 0.008 + - Gibbs' inequality
• 0.008 + - Kullback–Leibler divergence
• 0.008 + - Recommender system
• 0.008 + - Privacy and Deanonymization

Negative matches

• 0.033 + - Neural network
• 0.001 + - Gender bias
• 0.001 + - sense2vec
• 0.001 + - Paper/Levy2014a
• 0.001 + - Clinical concept embedding
• 0.001 + - Long short-term memory
• 0.001 + - Paper/Perozzi2014
• 0.001 + - Attention (Deep learning)
• 0.001 + - Google
• 0.001 + - Chris McCormick
• 0.001 + - Wolfgang Maass
• 0.000 + - Paper/Hochreiter1997
• 0.000 + - Paper/Bahdanau2015
• 0.000 + - Rami Al-Rfou
• 0.000 + - Ivo Danihelka
• 0.000 + - KoNLPy
• 0.000 + - Sentiment analysis
• 0.000 + - Topic modeling
• 0.000 + - GloVe
• 0.000 + - Paper