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

Positive matches

• 0.058 + - Probability, Paradox, and the Reasonable Person Principle
• 0.051 + - Lexical feature selection
• 0.033 + - Simpson's paradox
• 0.030 + - Probability
• 0.027 + - IPython
• 0.019 + - SSH tunneling
• 0.018 + - Yoav Freund
• 0.017 + - Ron Meir
• 0.016 + - Data science
• 0.015 + - Python
• 0.014 + - Jupyter
• 0.010 + - David MacKay
• 0.010 + - David Feldman
• 0.010 + - Cross entropy
• 0.008 + - Pointwise mutual information
• 0.008 + - Information Theory, Inference, and Learning Algorithms
• 0.008 + - Gibbs' inequality
• 0.008 + - Kullback–Leibler divergence
• 0.008 + - Privacy and Deanonymization
• 0.008 + - SSH

Negative matches

• 0.033 + - Neural network
• 0.002 + - Neural Turing machine
• 0.002 + - word2vec
• 0.001 + - Gender bias
• 0.001 + - Paper/Levy2014a
• 0.001 + - GloVe
• 0.001 + - Paper/Graves2014NTM
• 0.001 + - Long short-term memory
• 0.001 + - Clinical concept embedding
• 0.001 + - Paper/Perozzi2014
• 0.001 + - Google
• 0.001 + - Chris McCormick
• 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 + - Paper
• 0.000 + - Topic modeling