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) +Learning +Gensim +IPython +Text analysis +Python"

Positive matches

• 0.115 + - Class imbalance
• 0.052 + - Lexical feature selection
• 0.034 + - word2vec
• 0.034 + - IPython notebook
• 0.033 + - Data analysis
• 0.030 + - tfidf
• 0.026 + - Python/Modules
• 0.025 + - Recommender system
• 0.025 + - Gradient descent
• 0.023 + - Deep learning
• 0.023 + - scikit-learn
• 0.022 + - Data clustering
• 0.022 + - Ulrike von Luxburg
• 0.021 + - Science
• 0.020 + - Pointwise mutual information
• 0.017 + - Yoav Freund
• 0.017 + - Ron Meir
• 0.017 + - Pajek
• 0.016 + - Poker
• 0.016 + - How to study

Negative matches

• 0.004 + - Probability