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 +Network similarity +Caenorhabditis elegans -Deep learning"

Positive matches

• 0.217 + - Machine learning
• 0.040 + - Similarity
• 0.039 + - C. elegans
• 0.034 + - Multilayer network
• 0.024 + - IPython notebook
• 0.020 + - Recommender system
• 0.018 + - Gradient descent
• 0.018 + - Poker
• 0.016 + - IPython
• 0.013 + - Allen Institute for Brain Science
• 0.013 + - Artemy Kolchinsky
• 0.013 + - Jupyter
• 0.012 + - Aging brain
• 0.012 + - Boosting (machine learning)
• 0.010 + - SSH tunneling
• 0.010 + - Future of work
• 0.007 + - Learning
• 0.007 + - Spatial network
• 0.007 + - Modular structure of brain
• 0.006 + - scikit-learn

Negative matches

• 0.019 + - Language
• 0.006 + - Amazon EC2
• 0.005 + - Residual leanrning
• 0.003 + - Attention
• 0.003 + - Probability
• 0.003 + - Reinforcement learning
• 0.003 + - Amazon Web Services
• 0.002 + - Evolution strategy
• 0.002 + - LSTM
• 0.002 + - Paper/Hochreiter1997
• 0.002 + - Deep learning and graphs
• 0.002 + - Keras
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Long short-term memory
• 0.002 + - Theano
• 0.002 + - Geoffrey Hinton
• 0.002 + - Paper/Gatys2015
• 0.002 + - Sentiment analysis
• 0.002 + - Attention (Deep learning)
• 0.002 + - Modeling animal behaviors with reinforcement learning