Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare +tf-idf +Boosting (machine learning) -Ron Meir +Probability +tfidf +Data clustering +Learning +scikit-learn -Gensim"

Positive matches

• 0.109 + - Class imbalance
• 0.030 + - Gradient descent
• 0.024 + - Recommender system
• 0.021 + - Deep learning
• 0.020 + - Decision tree
• 0.020 + - Text analysis
• 0.020 + - Ulrike von Luxburg
• 0.019 + - Probability theory
• 0.019 + - Probability distribution
• 0.015 + - Rob Schapire
• 0.015 + - Yoav Freund
• 0.015 + - Pointwise mutual information
• 0.014 + - How to study
• 0.014 + - Michael Ramscar
• 0.014 + - Lexical feature selection
• 0.014 + - Random forest
• 0.013 + - NLTK
• 0.012 + - skorch
• 0.011 + - Regular expression
• 0.011 + - Tim Hopper

Negative matches

• 0.026 + - word2vec
• 0.003 + - sense2vec
• 0.003 + - Paradox
• 0.003 + - Network geometry
• 0.002 + - Graph embedding
• 0.002 + - WordRank
• 0.002 + - Tomas Mikolov
• 0.001 + - Skip-gram
• 0.001 + - wiki2vec
• 0.001 + - Finkbeiner test
• 0.001 + - Paper/Perozzi2014
• 0.001 + - Softmax function
• 0.001 + - Hierarchical softmax
• 0.001 + - Embedded topic model
• 0.001 + - Ilya Sutskever
• 0.001 + - Paper/Levy2014
• 0.001 + - Chris McCormick
• 0.001 + - Paper
• 0.001 + - Social media
• 0.000 + - Yoav Goldberg