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 -Data clustering +Gradient descent -EM algorithm -Ulrike von Luxburg +scikit-learn -Regex"

Positive matches

• 0.114 + - Class imbalance
• 0.035 + - Neural network
• 0.030 + - Neuron
• 0.028 + - Recommender system
• 0.025 + - Decision tree
• 0.015 + - Random forest
• 0.015 + - tfidf
• 0.013 + - Learning
• 0.013 + - IPython notebook
• 0.013 + - Python/Modules
• 0.013 + - Privacy and Deanonymization
• 0.013 + - skorch
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - tf-idf
• 0.011 + - Boosting (machine learning)
• 0.010 + - Deep learning
• 0.010 + - Tim Hopper
• 0.009 + - Lexical feature selection
• 0.009 + - Future of work

Negative matches

• 0.058 + - Regular expression
• 0.002 + - Prime number
• 0.002 + - HTML
• 0.002 + - Web mining
• 0.001 + - Anemone
• 0.001 + - Nokogiri
• 0.001 + - CoffeeScript
• 0.001 + - Ruby
• 0.000 + - Atwood's law