Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook -Class imbalance +Jupyter/notebook -Rob Schapire +Gibbs' inequality +Jupyter -Ron Meir -Kullback���Leibler divergence -Gradient descent"
Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Jupyter/notebook
- Gibbs' inequality
- Jupyter
but not related to:
Positive matches
- 0.062 + - Lexical feature selection
- 0.059 + - Probability, Paradox, and the Reasonable Person Principle
- 0.040 + - IPython
- 0.039 + - Kullback–Leibler divergence
- 0.032 + - Polynote
- 0.031 + - Simpson's paradox
- 0.029 + - Poker
- 0.024 + - Pointwise mutual information
- 0.024 + - SSH tunneling
- 0.019 + - Probability
- 0.016 + - Yoav Freund
- 0.015 + - Artemy Kolchinsky
- 0.014 + - Data science
- 0.012 + - Python
- 0.009 + - Cross entropy
- 0.009 + - Information Theory, Inference, and Learning Algorithms
- 0.009 + - David MacKay
- 0.008 + - David Feldman
- 0.007 + - Learning
- 0.007 + - Text analysis
Negative matches
- 0.031 + - Neural network
- 0.027 + - Neuron
- 0.002 + - Class imbalance problem
- 0.002 + - Ilya Sutskever
- 0.001 + - Neural Turing machine
- 0.001 + - word2vec
- 0.001 + - Liquid state machine
- 0.001 + - Generative adversarial network
- 0.001 + - Paper/Graves2014NTM
- 0.001 + - Random forest
- 0.001 + - Paper/Levy2014a
- 0.001 + - Paper/Srivastava2014
- 0.001 + - Wolfgang Maass
- 0.001 + - Tomas Mikolov
- 0.000 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
- 0.000 + - Jack Terwilliger
- 0.000 + - Training dataset