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 -tf-idf"
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
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Positive matches
- 0.059 + - Probability, Paradox, and the Reasonable Person Principle
- 0.038 + - Class imbalance
- 0.030 + - Neural network
- 0.029 + - Class imbalance problem
- 0.029 + - Netflix prize
- 0.028 + - Simpson's paradox
- 0.021 + - Neuron
- 0.019 + - Jupyter/notebook
- 0.019 + - Probability theory
- 0.019 + - Probability distribution
- 0.018 + - Data analysis
- 0.012 + - IPython
- 0.011 + - Pajek
- 0.010 + - Natural language processing
- 0.010 + - SSH tunneling
- 0.009 + - Data science
- 0.009 + - Cross entropy
- 0.009 + - Information Theory, Inference, and Learning Algorithms
- 0.009 + - David MacKay
- 0.008 + - Learning
Negative matches
- 0.010 + - tfidf
- 0.010 + - NLTK
- 0.010 + - Gensim
- 0.009 + - scikit-learn
- 0.001 + - Text analysis
- 0.001 + - Tim Hopper
- 0.001 + - sense2vec
- 0.001 + - Paper/Levy2014
- 0.001 + - WordRank
- 0.001 + - Paper/Hamilton2016
- 0.001 + - Paper/Levy2014a
- 0.000 + - TensorFlow
- 0.000 + - StanfordNLP
- 0.000 + - Clinical concept embedding
- 0.000 + - Orthogonal Procrustes problem
- 0.000 + - Paper
- 0.000 + - Ilya Sutskever