Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Computer science -Ulrike von Luxburg +Future of work +Poker +Recommender system -Data clustering +Artificial neural network -Spatial network"

Positive matches

• 0.238 + - Machine learning
• 0.120 + - Class imbalance
• 0.033 + - Netflix prize
• 0.029 + - Deep learning
• 0.025 + - Gradient descent
• 0.014 + - Boosting (machine learning)
• 0.014 + - Learning
• 0.012 + - Jupyter/notebook
• 0.012 + - IPython notebook
• 0.011 + - Erik Brynjolfsson
• 0.011 + - Tom Mitchell
• 0.011 + - Artificial intelligence
• 0.011 + - Technological unemployment
• 0.011 + - Skill gap
• 0.010 + - Bookshelf
• 0.009 + - Privacy and Deanonymization
• 0.009 + - Interdisciplinary research
• 0.008 + - scikit-learn
• 0.007 + - GraphLab
• 0.007 + - Training dataset

Negative matches

• 0.022 + - City
• 0.022 + - Road network
• 0.002 + - Danielle Bassett
• 0.002 + - Dmitri B. Chklovskii
• 0.002 + - Gregory Jefferis
• 0.002 + - Geoffrey West
• 0.002 + - Michael Batty
• 0.002 + - Brain development
• 0.002 + - MRC Laboratory of Molecular Biology
• 0.002 + - Functional magnetic resonance imaging
• 0.002 + - Ed Bullmore
• 0.002 + - Efficiency of brain
• 0.002 + - Indiana University
• 0.002 + - Luis Bettencourt
• 0.002 + - Diffusion-limited aggregation
• 0.002 + - Olaf Sporns
• 0.002 + - Hyejin Youn
• 0.002 + - Santiago Ramón y Cajal
• 0.002 + - University of Cambridge
• 0.001 + - Transcranial direct-current stimulation