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Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Jupyter/notebook
- Simpson's paradox
- David Feldman
- Recommender system
- Gradient descent
- Probability
- Probability, Paradox, and the Reasonable Person Principle
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Positive matches
- 0.037 + - Lexical feature selection
- 0.036 + - Class imbalance
- 0.029 + - Netflix prize
- 0.028 + - Class imbalance problem
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- 0.023 + - IPython
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- 0.019 + - Probability distribution
- 0.015 + - Yoav Freund
- 0.015 + - SSH tunneling
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- 0.013 + - Jupyter
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- 0.012 + - Data science
- 0.009 + - Python
- 0.009 + - Information Theory, Inference, and Learning Algorithms
- 0.009 + - Cross entropy
- 0.007 + - Pointwise mutual information
- 0.007 + - Gibbs' inequality
- 0.007 + - David MacKay
Negative matches
- 0.024 + - Neural network
- 0.001 + - Jack Terwilliger
- 0.001 + - sense2vec
- 0.001 + - Paper/Hamilton2016
- 0.001 + - Tomas Mikolov
- 0.001 + - WordRank
- 0.001 + - wiki2vec
- 0.001 + - Paper/Graves2014NTM
- 0.001 + - Google
- 0.001 + - Paper/Levy2014
- 0.001 + - Chris McCormick
- 0.001 + - TensorFlow
- 0.001 + - Attention (Deep learning)
- 0.000 + - Paper/Hochreiter1997
- 0.000 + - Paper/Bahdanau2015
- 0.000 + - Ivo Danihelka
- 0.000 + - KoNLPy
- 0.000 + - Sentiment analysis
- 0.000 + - Omer Levy
- 0.000 + - Sentence embedding