Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Probability +David MacKay +Class imbalance +Information Theory, Inference, and Learning Algorithms +Recommender system -Rob Schapire -Class imbalance problem +Lexical feature selection +tf-idf -Gensim"
Pages related to:
- Peter Norvig
- Automated machine learning
- Paradox
- Travelling salesman problem
- Boosting (machine learning)
- Machine learning
- Information theory
- IPython notebook
- Probability
- David MacKay
- Class imbalance
- Information Theory, Inference, and Learning Algorithms
- Recommender system
- Lexical feature selection
- tf-idf
but not related to:
Positive matches
- 0.063 + - Probability, Paradox, and the Reasonable Person Principle
- 0.046 + - Books
- 0.038 + - Text analysis
- 0.035 + - Pointwise mutual information
- 0.029 + - Netflix prize
- 0.028 + - Simpson's paradox
- 0.027 + - Gradient descent
- 0.020 + - Jupyter/notebook
- 0.019 + - Paper/MacKay1991
- 0.019 + - Probability theory
- 0.019 + - Probability distribution
- 0.017 + - Poker
- 0.016 + - Natural language processing
- 0.015 + - Data analysis
- 0.015 + - Yoav Freund
- 0.015 + - scikit-learn
- 0.014 + - Ron Meir
- 0.013 + - IPython
- 0.012 + - NLTK
- 0.011 + - Python
Negative matches
- 0.027 + - word2vec
- 0.003 + - sense2vec
- 0.003 + - Network geometry
- 0.002 + - Graph embedding
- 0.002 + - WordRank
- 0.002 + - Tomas Mikolov
- 0.002 + - tfidf
- 0.001 + - Skip-gram
- 0.001 + - Paper/Perozzi2014
- 0.001 + - wiki2vec
- 0.001 + - Finkbeiner test
- 0.001 + - Ilya Sutskever
- 0.001 + - Paper/Levy2014
- 0.001 + - Chris McCormick
- 0.001 + - Softmax function
- 0.001 + - Hierarchical softmax
- 0.001 + - GloVe
- 0.001 + - Embedded topic model
- 0.001 + - Paper
- 0.001 + - Social media