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 -Paradox +Gradient descent +scikit-learn -Aging brain"

Positive matches

• 0.250 + - Machine learning
• 0.121 + - Class imbalance
• 0.037 + - Neural network
• 0.033 + - Neuron
• 0.028 + - Deep learning
• 0.026 + - Recommender system
• 0.020 + - Decision tree
• 0.017 + - tfidf
• 0.015 + - Random forest
• 0.012 + - IPython notebook
• 0.012 + - Poker
• 0.012 + - Python
• 0.011 + - skorch
• 0.011 + - Boosting (machine learning)
• 0.011 + - Jupyter/notebook
• 0.011 + - Python/Modules
• 0.010 + - Tim Hopper
• 0.010 + - tf-idf
• 0.010 + - Learning
• 0.007 + - Privacy and Deanonymization

Negative matches

• 0.048 + - Brain network
• 0.036 + - Simpson's paradox
• 0.010 + - Network similarity
• 0.005 + - Multilayer network
• 0.003 + - Similarity
• 0.002 + - Caenorhabditis elegans
• 0.002 + - Allen Institute for Brain Science
• 0.002 + - Danielle Bassett
• 0.002 + - Brain development
• 0.002 + - MRC Laboratory of Molecular Biology
• 0.002 + - Ed Bullmore
• 0.002 + - Modular structure of brain
• 0.002 + - Olaf Sporns
• 0.002 + - Santiago Ramón y Cajal
• 0.002 + - University of Cambridge
• 0.002 + - Controlling brain dynamics
• 0.002 + - Functional magnetic resonance imaging
• 0.002 + - Brain
• 0.002 + - Indiana University
• 0.002 + - Efficiency of brain