Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Jupyter/notebook +Simpson's paradox +David Feldman +Recommender system +Rob Schapire +Python +Probability, Paradox, and the Reasonable Person Principle +David MacKay +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
- Jupyter/notebook
- Simpson's paradox
- David Feldman
- Recommender system
- Rob Schapire
- Python
- Probability, Paradox, and the Reasonable Person Principle
- David MacKay
- Lexical feature selection
but not related to:
Positive matches
- 0.047 + - Probability
- 0.037 + - Class imbalance
- 0.029 + - Class imbalance problem
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- 0.020 + - Gradient descent
- 0.019 + - Paper/MacKay1991
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- 0.015 + - Ron Meir
- 0.015 + - Yoav Freund
- 0.014 + - SSH tunneling
- 0.013 + - Artemy Kolchinsky
- 0.013 + - Pajek
- 0.012 + - Jupyter
- 0.012 + - Natural language processing
- 0.010 + - Data science
- 0.009 + - SSH
- 0.009 + - Information Theory, Inference, and Learning Algorithms
Negative matches
- 0.011 + - tfidf
- 0.010 + - NLTK
- 0.010 + - Gensim
- 0.007 + - scikit-learn
- 0.001 + - Ilya Sutskever
- 0.001 + - Paper/Hamilton2016
- 0.001 + - sense2vec
- 0.001 + - Paper/Levy2014
- 0.001 + - WordRank
- 0.001 + - Paper/Levy2014a
- 0.000 + - TensorFlow
- 0.000 + - StanfordNLP
- 0.000 + - Orthogonal Procrustes problem
- 0.000 + - Clinical concept embedding
- 0.000 + - Thermostat
- 0.000 + - Paper