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 +Gradient descent -EM algorithm -Ulrike von Luxburg +Paradox +Privacy and Deanonymization -Learning"

Positive matches

• 0.107 + - Class imbalance
• 0.056 + - Pathogen transmission
• 0.033 + - Neural network
• 0.031 + - Simpson's paradox
• 0.029 + - Neuron
• 0.022 + - Recommender system
• 0.012 + - Jupyter/notebook
• 0.011 + - Future of work
• 0.011 + - IPython notebook
• 0.010 + - Poker
• 0.010 + - Regular expression
• 0.010 + - Boosting (machine learning)
• 0.009 + - scikit-learn
• 0.008 + - Regex
• 0.007 + - Network alignment
• 0.006 + - Graph matching
• 0.006 + - Identity resolution
• 0.006 + - Social networks
• 0.006 + - Link prediction
• 0.006 + - Degree of anonymity

Negative matches

• 0.016 + - Michael Ramscar
• 0.016 + - How to study
• 0.009 + - Deep learning
• 0.003 + - Probability
• 0.002 + - Jonah Lehrer
• 0.002 + - 유재명
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Practice
• 0.002 + - Marc'Aurelio Ranzato
• 0.002 + - Autoencoder
• 0.001 + - Research advices
• 0.001 + - Residual Learning
• 0.001 + - Residual leanrning
• 0.001 + - Theano
• 0.000 + - Convolutional neural network
• 0.000 + - Keras
• 0.000 + - word2vec
• 0.000 + - Thermostat
• 0.000 + - Quoc Le