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 -Ulrike von Luxburg -Recommender system -Netflix prize -Deep learning"

Positive matches

• 0.100 + - Class imbalance
• 0.035 + - Neural network
• 0.030 + - Neuron
• 0.013 + - IPython notebook
• 0.011 + - scikit-learn
• 0.011 + - Poker
• 0.011 + - Jupyter/notebook
• 0.011 + - Privacy and Deanonymization
• 0.009 + - Boosting (machine learning)
• 0.007 + - Regex
• 0.006 + - Regular expression
• 0.006 + - Sargur Srihari
• 0.005 + - Random forest
• 0.005 + - Paradox
• 0.005 + - Learning
• 0.005 + - Carlos Guestrin
• 0.005 + - Computer science
• 0.004 + - Decision tree
• 0.004 + - Future of work
• 0.004 + - Tom M. MItchell

Negative matches

• 0.014 + - Language
• 0.011 + - Residual leanrning
• 0.007 + - Reinforcement learning
• 0.004 + - Amazon EC2
• 0.004 + - Q-learning
• 0.003 + - Andy Connelly
• 0.002 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Paper/Hochreiter1997
• 0.002 + - Machine translation
• 0.002 + - Beer
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Yann LeCun
• 0.002 + - Generative adversarial networks
• 0.002 + - Long short-term memory
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Thermostat
• 0.002 + - Paper/Gatys2015
• 0.002 + - Geoffrey Hinton
• 0.002 + - Autoencoder