Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Artificial neural network +Data clustering +Ulrike von Luxburg +Jupyter/notebook +Jupyter +Machine learning -Recommender system -Deep learning"

Positive matches

• 0.096 + - Class imbalance
• 0.047 + - IPython notebook
• 0.034 + - Polynote
• 0.030 + - IPython
• 0.023 + - Poker
• 0.023 + - Gradient descent
• 0.021 + - Brain network
• 0.014 + - Artemy Kolchinsky
• 0.010 + - Boosting (machine learning)
• 0.010 + - scikit-learn
• 0.009 + - Data science
• 0.008 + - SSH tunneling
• 0.008 + - Paradox
• 0.007 + - Spatial network
• 0.007 + - Privacy and Deanonymization
• 0.006 + - SSH
• 0.005 + - Random forest
• 0.004 + - Computer science
• 0.004 + - Aging brain
• 0.004 + - Regular expression

Negative matches

• 0.032 + - Netflix prize
• 0.014 + - Language
• 0.010 + - Residual leanrning
• 0.009 + - Reinforcement learning
• 0.004 + - Q-learning
• 0.003 + - Amazon EC2
• 0.003 + - Andy Connelly
• 0.002 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Machine translation
• 0.002 + - Geoffrey Hinton
• 0.002 + - Beer
• 0.002 + - Natural language processing
• 0.002 + - Thermostat
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yoshua Bengio
• 0.002 + - Generative adversarial networks
• 0.002 + - Long short-term memory
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Theano
• 0.002 + - Paper/Gatys2015