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 +Aging brain +Brain network -Deep learning"

Positive matches

• 0.233 + - Machine learning
• 0.023 + - IPython notebook
• 0.023 + - Gradient descent
• 0.022 + - Recommender system
• 0.020 + - Network similarity
• 0.020 + - Poker
• 0.018 + - Spatial network
• 0.018 + - Caenorhabditis elegans
• 0.015 + - Allen Institute for Brain Science
• 0.014 + - Artemy Kolchinsky
• 0.014 + - IPython
• 0.014 + - Jupyter
• 0.012 + - Boosting (machine learning)
• 0.010 + - Multilayer network
• 0.009 + - Data science
• 0.009 + - Similarity
• 0.008 + - Brain and deep learning
• 0.008 + - C. elegans
• 0.007 + - scikit-learn
• 0.007 + - Paradox

Negative matches

• 0.015 + - Language
• 0.009 + - Residual leanrning
• 0.007 + - Reinforcement learning
• 0.004 + - Amazon EC2
• 0.004 + - Andy Connelly
• 0.003 + - Q-learning
• 0.003 + - Modeling animal behaviors with reinforcement learning
• 0.002 + - Paper/Hochreiter1997
• 0.002 + - Machine translation
• 0.002 + - Beer
• 0.002 + - Natural language processing
• 0.002 + - Thermostat
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Long short-term memory
• 0.002 + - word2vec
• 0.002 + - Jürgen Schmidhuber
• 0.002 + - Generative adversarial networks
• 0.002 + - Theano
• 0.002 + - Paper/Gatys2015
• 0.002 + - Geoffrey Hinton