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 +Recommender system +Future of work -Erik Brynjolfsson +Machine learning -Spatial network"

Positive matches

• 0.120 + - Class imbalance
• 0.035 + - Netflix prize
• 0.028 + - Deep learning
• 0.027 + - Gradient descent
• 0.017 + - Boosting (machine learning)
• 0.016 + - Learning
• 0.013 + - IPython notebook
• 0.011 + - Tom Mitchell
• 0.011 + - Artificial intelligence
• 0.011 + - Poker
• 0.011 + - Technological unemployment
• 0.011 + - Jupyter/notebook
• 0.011 + - Skill gap
• 0.010 + - Privacy and Deanonymization
• 0.009 + - scikit-learn
• 0.008 + - GraphLab
• 0.008 + - Regular expression
• 0.008 + - Decision tree
• 0.007 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.007 + - Python#Modules_.26_Libraries

Negative matches

• 0.022 + - City
• 0.022 + - Road network
• 0.002 + - Danielle Bassett
• 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
• 0.001 + - Transcranial alternating current stimulation