Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin -Probability, Paradox, and the Reasonable Person Principle +Weka +Probability +Training dataset +Paradox +Artificial neural network -Spatial network"

Positive matches

• 0.115 + - Class imbalance
• 0.036 + - Simpson's paradox
• 0.024 + - Probability theory
• 0.024 + - Probability distribution
• 0.021 + - Gradient descent
• 0.014 + - Recommender system
• 0.013 + - IPython notebook
• 0.013 + - Jupyter/notebook
• 0.012 + - Poker
• 0.010 + - Learning
• 0.010 + - Boosting (machine learning)
• 0.007 + - scikit-learn
• 0.007 + - Future of work
• 0.006 + - Privacy and Deanonymization
• 0.006 + - Regular expression
• 0.005 + - GraphLab
• 0.004 + - Aging brain
• 0.004 + - Machine learning for physical sciences
• 0.004 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.004 + - Kevin Murphy

Negative matches

• 0.024 + - City
• 0.024 + - Road network
• 0.010 + - Deep learning
• 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