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) +IPython notebook +Learning +Jupyter/notebook -Artemy Kolchinsky -Data science"

Positive matches

• 0.116 + - Class imbalance
• 0.028 + - Poker
• 0.025 + - Recommender system
• 0.025 + - Gradient descent
• 0.024 + - Text analysis
• 0.022 + - Ulrike von Luxburg
• 0.022 + - Data clustering
• 0.022 + - IPython
• 0.022 + - Deep learning
• 0.022 + - scikit-learn
• 0.022 + - SSH tunneling
• 0.019 + - Pointwise mutual information
• 0.017 + - Yoav Freund
• 0.017 + - Ron Meir
• 0.017 + - Rob Schapire
• 0.016 + - How to study
• 0.016 + - Michael Ramscar
• 0.013 + - Python
• 0.013 + - Regular expression
• 0.013 + - Lexical feature selection

Negative matches

• 0.026 + - Computational social science
• 0.010 + - Industry-Academic Partnership
• 0.008 + - Interdisciplinary research
• 0.007 + - Big data
• 0.007 + - Jay Keyser
• 0.007 + - Trey Causey
• 0.007 + - Science
• 0.007 + - Avrim Blum
• 0.007 + - Ravindran Kannan
• 0.007 + - John Hopcroft
• 0.006 + - Science policy
• 0.005 + - Data
• 0.003 + - Software engineering in research
• 0.001 + - Policy
• 0.001 + - Probability
• 0.001 + - Migration
• 0.001 + - Scientometrics
• 0.001 + - Software engineering
• 0.001 + - Bookshelf
• 0.000 + - Collaborative software