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 -Learning"

Positive matches

• 0.063 + - Pathogen transmission
• 0.041 + - Network alignment
• 0.033 + - Link prediction
• 0.027 + - Gradient descent
• 0.026 + - Recommender system
• 0.026 + - IPython notebook
• 0.024 + - Ulrike von Luxburg
• 0.022 + - Poker
• 0.017 + - Social network
• 0.014 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.013 + - IPython
• 0.013 + - Boosting (machine learning)
• 0.012 + - Future of work
• 0.012 + - scikit-learn
• 0.008 + - Identity resolution
• 0.008 + - Arvind Narayanan
• 0.008 + - Social networks
• 0.008 + - Degree of anonymity
• 0.008 + - Vitaly Shmatikov

Negative matches

• 0.017 + - How to study
• 0.017 + - Michael Ramscar
• 0.007 + - Deep learning
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Keras
• 0.002 + - Memorization
• 0.002 + - Practice
• 0.002 + - Convolutional neural network
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Autoencoder
• 0.002 + - Research advices
• 0.001 + - Generative adversarial network
• 0.001 + - Residual Learning
• 0.001 + - Thermostat
• 0.001 + - Residual leanrning
• 0.000 + - word2vec