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 +Boosting (machine learning) +Ron Meir +IPython notebook +Ulrike von Luxburg +Machine learning +Recommender system -Deep learning"

Positive matches

• 0.123 + - Class imbalance
• 0.033 + - Netflix prize
• 0.026 + - Gradient descent
• 0.021 + - Jupyter/notebook
• 0.019 + - Poker
• 0.018 + - Brain network
• 0.017 + - Yoav Freund
• 0.017 + - Rob Schapire
• 0.016 + - Future of work
• 0.015 + - Learning
• 0.013 + - SSH tunneling
• 0.013 + - IPython
• 0.011 + - Data science
• 0.010 + - Python
• 0.010 + - Regular expression
• 0.010 + - Privacy and Deanonymization
• 0.007 + - scikit-learn
• 0.007 + - Decision tree
• 0.007 + - Sargur Srihari
• 0.006 + - Aging brain

Negative matches

• 0.018 + - Language
• 0.006 + - Amazon EC2
• 0.006 + - Residual leanrning
• 0.004 + - Attention
• 0.003 + - Reinforcement learning
• 0.003 + - Probability
• 0.003 + - Amazon Web Services
• 0.002 + - LSTM
• 0.002 + - Paper/Hochreiter1997
• 0.002 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Geoffrey Hinton
• 0.002 + - Deep learning and graphs
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Long short-term memory
• 0.002 + - Theano
• 0.002 + - Paper/Gatys2015
• 0.002 + - Dropout
• 0.002 + - Beer
• 0.002 + - Sentiment analysis
• 0.002 + - Autoencoder