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 +Artemy Kolchinsky +Ulrike von Luxburg +Privacy and Deanonymization -IPython"

Positive matches

• 0.115 + - Class imbalance
• 0.063 + - Pathogen transmission
• 0.028 + - Gradient descent
• 0.026 + - Recommender system
• 0.018 + - Poker
• 0.014 + - Jupyter
• 0.012 + - Learning
• 0.012 + - scikit-learn
• 0.010 + - Future of work
• 0.010 + - Boosting (machine learning)
• 0.009 + - Graph matching
• 0.008 + - Regular expression
• 0.008 + - Deep learning
• 0.008 + - Network alignment
• 0.007 + - Regex
• 0.007 + - Identity resolution
• 0.007 + - Social networks
• 0.007 + - Link prediction
• 0.007 + - Degree of anonymity
• 0.007 + - Arvind Narayanan

Negative matches

• 0.019 + - Python/Modules
• 0.016 + - Python
• 0.003 + - Python/Bokeh
• 0.002 + - Python/doit
• 0.002 + - Python/Beautiful soup
• 0.002 + - Progress bar
• 0.002 + - Python/Style
• 0.002 + - Python/Vincent
• 0.001 + - Python/Visualization
• 0.001 + - Pajek
• 0.001 + - Python/Blaze
• 0.001 + - Beautiful soup (Python)
• 0.001 + - Python/Debugging
• 0.001 + - Data
• 0.001 + - Slopegraph
• 0.001 + - Python/Pandas
• 0.000 + - Python/patsy
• 0.000 + - Vim
• 0.000 + - Python/Black