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) +Recommender system +Ron Meir +scikit-learn -Probability"

Positive matches

• 0.138 + - Class imbalance
• 0.035 + - Netflix prize
• 0.032 + - Gradient descent
• 0.028 + - Text analysis
• 0.026 + - tfidf
• 0.024 + - Data clustering
• 0.024 + - Ulrike von Luxburg
• 0.022 + - Decision tree
• 0.021 + - Lexical feature selection
• 0.021 + - Pointwise mutual information
• 0.020 + - Learning
• 0.018 + - Rob Schapire
• 0.018 + - Yoav Freund
• 0.017 + - Random forest
• 0.017 + - Privacy and Deanonymization
• 0.017 + - Future of work
• 0.014 + - Python/Modules
• 0.013 + - NLTK
• 0.013 + - Gensim
• 0.012 + - Regular expression

Negative matches

• 0.022 + - Probability distribution
• 0.022 + - Probability theory
• 0.002 + - Edwin Thompson Jaynes
• 0.002 + - Probability Theory: The Logic of Science
• 0.002 + - Bayesian inference
• 0.002 + - Stochastic process
• 0.002 + - Frequentist inference
• 0.001 + - Sure Thing hypothesis
• 0.000 + - Beta distribution
• 0.000 + - Dirichlet distribution
• 0.000 + - Jupyter