Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook -Simpson's paradox +Cross entropy +Recommender system +Class imbalance problem +IPython -Rob Schapire +Learning +Gradient descent -Neural network"
Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Jupyter/notebook
- Cross entropy
- Recommender system
- Class imbalance problem
- IPython
- Learning
- Gradient descent
but not related to:
Positive matches
- 0.092 + - Class imbalance
- 0.063 + - Probability, Paradox, and the Reasonable Person Principle
- 0.043 + - Lexical feature selection
- 0.029 + - Netflix prize
- 0.029 + - Poker
- 0.029 + - Python
- 0.025 + - Probability
- 0.021 + - Python/Modules
- 0.020 + - Deep learning
- 0.017 + - Pointwise mutual information
- 0.017 + - SSH tunneling
- 0.016 + - Neuron
- 0.015 + - Yoav Freund
- 0.014 + - How to study
- 0.014 + - Ron Meir
- 0.014 + - Michael Ramscar
- 0.014 + - Data science
- 0.012 + - Artemy Kolchinsky
- 0.012 + - Jupyter
- 0.010 + - SSH
Negative matches
- 0.017 + - Paper/Srivastava2014
- 0.006 + - Dropout
- 0.006 + - Jack Terwilliger
- 0.006 + - Ilya Sutskever
- 0.006 + - Neural Turing machine
- 0.006 + - word2vec
- 0.006 + - Liquid state machine
- 0.004 + - Recurrent neural network
- 0.004 + - Gensim
- 0.003 + - sense2vec
- 0.002 + - WordRank
- 0.002 + - Paper/Levy2014
- 0.002 + - Hierarchical softmax
- 0.001 + - Skip-gram
- 0.001 + - Google
- 0.001 + - Gender bias
- 0.001 + - Chris McCormick
- 0.001 + - Continuous embedding
- 0.001 + - Paper/Hamilton2016
- 0.001 + - Paper/Perozzi2014