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 +Class imbalance +Brain network +Recommender system +C. elegans -Deep learning"

Positive matches

• 0.246 + - Machine learning
• 0.072 + - Caenorhabditis elegans
• 0.031 + - Netflix prize
• 0.023 + - IPython notebook
• 0.021 + - Gradient descent
• 0.016 + - Poker
• 0.014 + - IPython
• 0.014 + - Allen Institute for Brain Science
• 0.014 + - Future of work
• 0.013 + - Artemy Kolchinsky
• 0.013 + - Boosting (machine learning)
• 0.013 + - Jupyter
• 0.012 + - Learning
• 0.012 + - SSH tunneling
• 0.009 + - Aging brain
• 0.009 + - Paradox
• 0.008 + - Spatial network
• 0.007 + - Network similarity
• 0.007 + - Regular expression
• 0.006 + - Privacy and Deanonymization

Negative matches

• 0.019 + - Language
• 0.005 + - Amazon EC2
• 0.005 + - Residual leanrning
• 0.004 + - LSTM
• 0.003 + - Paper/Hochreiter1997
• 0.003 + - Probability
• 0.003 + - Evolution strategy
• 0.002 + - Attention
• 0.002 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Keras
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Paper/Gatys2015
• 0.002 + - Theano
• 0.002 + - Sentiment analysis
• 0.002 + - TensorFlow
• 0.002 + - Attention (Deep learning)
• 0.002 + - Q-learning
• 0.002 + - Reinforcement learning