Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Probability -Rob Schapire -Poker +Recommender system -Yoav Freund +Ron Meir +Gradient descent +Python +Lexical feature selection -Neural network"
Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Probability
- Recommender system
- Ron Meir
- Gradient descent
- Python
- Lexical feature selection
but not related to:
Positive matches
- 0.065 + - Probability, Paradox, and the Reasonable Person Principle
- 0.035 + - Class imbalance
- 0.032 + - Class imbalance problem
- 0.029 + - Netflix prize
- 0.028 + - Simpson's paradox
- 0.021 + - Pointwise mutual information
- 0.021 + - Text analysis
- 0.020 + - Jupyter/notebook
- 0.019 + - Probability theory
- 0.019 + - Probability distribution
- 0.017 + - tf-idf
- 0.016 + - Neuron
- 0.014 + - Natural language processing
- 0.014 + - Data analysis
- 0.013 + - IPython
- 0.012 + - Geovisualization
- 0.010 + - Data science
- 0.010 + - Pajek
- 0.009 + - SSH tunneling
- 0.009 + - Cross entropy
Negative matches
- 0.017 + - Paper/Srivastava2014
- 0.007 + - word2vec
- 0.006 + - Dropout
- 0.006 + - Jack Terwilliger
- 0.006 + - Ilya Sutskever
- 0.006 + - Neural Turing machine
- 0.006 + - Liquid state machine
- 0.003 + - sense2vec
- 0.003 + - Gensim
- 0.002 + - Recurrent neural network
- 0.002 + - WordRank
- 0.002 + - Paper/Levy2014
- 0.002 + - Hierarchical softmax
- 0.001 + - Skip-gram
- 0.001 + - Google
- 0.001 + - Gender bias
- 0.001 + - Tomas Mikolov
- 0.001 + - Chris McCormick
- 0.001 + - Continuous embedding
- 0.001 + - Paper/Hamilton2016