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 +Privacy and Deanonymization +Graph matching +Class imbalance -Social network"

Positive matches

• 0.058 + - Pathogen transmission
• 0.040 + - Network alignment
• 0.032 + - Link prediction
• 0.029 + - Recommender system
• 0.026 + - Gradient descent
• 0.024 + - IPython notebook
• 0.024 + - Ulrike von Luxburg
• 0.020 + - Poker
• 0.014 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.013 + - IPython
• 0.013 + - Boosting (machine learning)
• 0.013 + - Learning
• 0.012 + - scikit-learn
• 0.011 + - Future of work
• 0.010 + - Deep learning
• 0.008 + - Social networks
• 0.008 + - Arvind Narayanan
• 0.008 + - Regular expression
• 0.008 + - Random forest

Negative matches

• 0.022 + - Epidemiology
• 0.006 + - Epidemics
• 0.005 + - Information diffusion and epidemic spreading
• 0.005 + - Animal social network
• 0.005 + - Homophily and influence
• 0.005 + - Geography and social network
• 0.005 + - Information flow
• 0.005 + - Facebook
• 0.005 + - Conrad Lee
• 0.005 + - Mason Porter
• 0.005 + - Social learning
• 0.005 + - Network science
• 0.005 + - Social status
• 0.004 + - Link analysis
• 0.003 + - Innovation
• 0.003 + - Network datasets
• 0.002 + - Temporal network
• 0.002 + - James H. Fowler
• 0.002 + - Nicholas A. Christakis
• 0.001 + - Iain D. Couzin