Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare +tf-idf +Boosting (machine learning) -Ron Meir +Jupyter/notebook +scikit-learn +Learning -Gradient descent"
Pages related to:
- Peter Norvig
- Automated machine learning
- Class imbalance problem
- Travelling salesman problem
- Cross validation
- Cluster analysis
- Machine learning
- Machine learning for healthcare
- tf-idf
- Boosting (machine learning)
- Jupyter/notebook
- scikit-learn
- Learning
but not related to:
Positive matches
- 0.119 + - Class imbalance
- 0.025 + - tfidf
- 0.024 + - Recommender system
- 0.024 + - IPython notebook
- 0.024 + - Text analysis
- 0.023 + - Decision tree
- 0.022 + - Ulrike von Luxburg
- 0.022 + - Data clustering
- 0.022 + - Deep learning
- 0.019 + - Lexical feature selection
- 0.018 + - Pointwise mutual information
- 0.017 + - Poker
- 0.017 + - Rob Schapire
- 0.016 + - Yoav Freund
- 0.016 + - How to study
- 0.016 + - Michael Ramscar
- 0.015 + - Random forest
- 0.014 + - Python/Modules
- 0.013 + - IPython
- 0.013 + - Artemy Kolchinsky
Negative matches
- 0.030 + - Neural network
- 0.027 + - Neuron
- 0.003 + - Probability
- 0.002 + - Ilya Sutskever
- 0.001 + - Neural Turing machine
- 0.001 + - Liquid state machine
- 0.001 + - Chris McCormick
- 0.001 + - Paper/Graves2014NTM
- 0.001 + - Paper/Srivastava2014
- 0.001 + - Wolfgang Maass
- 0.001 + - Tomas Mikolov
- 0.000 + - Paper/Levy2014a