Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook -Class imbalance -Probability, Paradox, and the Reasonable Person Principle +Data science +Gradient descent +Pointwise mutual information -David Feldman -Jupyter/notebook"
Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Data science
- Gradient descent
- Pointwise mutual information
but not related to:
Positive matches
- 0.076 + - Lexical feature selection
- 0.048 + - Text analysis
- 0.038 + - Neural network
- 0.033 + - Simpson's paradox
- 0.025 + - Computational social science
- 0.025 + - Neuron
- 0.018 + - Ron Meir
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- 0.012 + - Python
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- 0.011 + - Information Theory, Inference, and Learning Algorithms
- 0.011 + - David MacKay
- 0.011 + - Industry-Academic Partnership
- 0.010 + - Cross entropy
- 0.010 + - Recommender system
- 0.009 + - Kullback–Leibler divergence
- 0.008 + - Poker
- 0.008 + - Gibbs' inequality
- 0.007 + - Jay Keyser
Negative matches
- 0.013 + - Jupyter
- 0.011 + - Artemy Kolchinsky
- 0.003 + - Class imbalance problem
- 0.001 + - Probability
- 0.001 + - Python/Blaze
- 0.001 + - Closure tools
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- 0.000 + - Python/Debugging
- 0.000 + - Beautiful soup (Python)
- 0.000 + - Command-line interface