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 +Cross entropy +David Feldman +IPython -Ron Meir +Data science +Gibbs' inequality"
Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Cross entropy
- David Feldman
- IPython
- Data science
- Gibbs' inequality
but not related to:
Positive matches
- 0.074 + - Lexical feature selection
- 0.039 + - Kullback–Leibler divergence
- 0.038 + - Pointwise mutual information
- 0.031 + - Simpson's paradox
- 0.031 + - Python
- 0.027 + - Computational social science
- 0.024 + - Python/Modules
- 0.022 + - Jupyter/notebook
- 0.022 + - Poker
- 0.021 + - SSH tunneling
- 0.017 + - Yoav Freund
- 0.016 + - Rob Schapire
- 0.013 + - Gradient descent
- 0.010 + - Industry-Academic Partnership
- 0.009 + - David MacKay
- 0.009 + - Information Theory, Inference, and Learning Algorithms
- 0.008 + - Learning
- 0.008 + - Data
- 0.008 + - Python/Beautiful soup
- 0.007 + - Jay Keyser
Negative matches
- 0.002 + - Probability
- 0.001 + - Generative adversarial network
- 0.001 + - Atwood's law
- 0.000 + - Class imbalance problem