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 +Recommender system +Aging brain +Brain network +Machine learning +IPython notebook -Deep learning"

Positive matches

• 0.113 + - Class imbalance
• 0.033 + - Netflix prize
• 0.022 + - Gradient descent
• 0.021 + - Jupyter/notebook
• 0.019 + - Network similarity
• 0.018 + - Poker
• 0.016 + - Future of work
• 0.015 + - Spatial network
• 0.014 + - Caenorhabditis elegans
• 0.014 + - Boosting (machine learning)
• 0.013 + - Allen Institute for Brain Science
• 0.013 + - SSH tunneling
• 0.013 + - Learning
• 0.012 + - Python
• 0.011 + - Multilayer network
• 0.011 + - Data science
• 0.011 + - IPython
• 0.011 + - Similarity
• 0.008 + - C. elegans
• 0.008 + - Regular expression

Negative matches

• 0.016 + - Language
• 0.006 + - Amazon EC2
• 0.005 + - Attention
• 0.004 + - Residual leanrning
• 0.003 + - Probability
• 0.003 + - Q-learning
• 0.002 + - Reinforcement learning
• 0.002 + - Amazon Web Services
• 0.002 + - Evolution strategy
• 0.002 + - LSTM
• 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 + - Sentiment analysis
• 0.002 + - Attention (Deep learning)
• 0.002 + - Tomas Mikolov
• 0.001 + - Paper/Hochreiter1997