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 +Jupyter/notebook +Recommender system +Ulrike von Luxburg -Artemy Kolchinsky +Jupyter -Data science"

Positive matches

• 0.117 + - Class imbalance
• 0.034 + - IPython notebook
• 0.033 + - Netflix prize
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• 0.028 + - IPython
• 0.024 + - Gradient descent
• 0.019 + - Poker
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• 0.014 + - Boosting (machine learning)
• 0.012 + - SSH tunneling
• 0.012 + - Regular expression
• 0.011 + - Privacy and Deanonymization
• 0.010 + - scikit-learn
• 0.008 + - Paradox
• 0.007 + - Regex
• 0.006 + - Decision tree
• 0.006 + - Deep learning
• 0.006 + - Artificial neural network
• 0.005 + - GraphLab

Negative matches

• 0.028 + - Computational social science
• 0.010 + - Industry-Academic Partnership
• 0.007 + - Interdisciplinary research
• 0.007 + - Big data
• 0.007 + - Jay Keyser
• 0.007 + - Trey Causey
• 0.007 + - Science
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• 0.006 + - Data
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• 0.003 + - Probability
• 0.003 + - Software engineering in research
• 0.002 + - Scientometrics
• 0.001 + - Policy
• 0.001 + - Migration
• 0.001 + - Software engineering
• 0.001 + - Bookshelf
• 0.000 + - Collaborative software