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 +Paradox +Recommender system +scikit-learn +Deep learning -Brain network"

Positive matches

• 0.230 + - Machine learning
• 0.117 + - Class imbalance
• 0.031 + - Netflix prize
• 0.031 + - Simpson's paradox
• 0.023 + - Gradient descent
• 0.022 + - IPython notebook
• 0.021 + - Decision tree
• 0.017 + - Poker
• 0.016 + - Language
• 0.015 + - Learning
• 0.015 + - Future of work
• 0.014 + - Boosting (machine learning)
• 0.013 + - IPython
• 0.013 + - Artemy Kolchinsky
• 0.013 + - Jupyter
• 0.012 + - tfidf
• 0.012 + - Random forest
• 0.012 + - Python/Modules
• 0.010 + - skorch
• 0.010 + - Python

Negative matches

• 0.012 + - Caenorhabditis elegans
• 0.012 + - Allen Institute for Brain Science
• 0.010 + - Similarity
• 0.009 + - C. elegans
• 0.003 + - Probability
• 0.003 + - Danielle Bassett
• 0.003 + - Dmitri B. Chklovskii
• 0.003 + - Indiana University
• 0.003 + - Gregory Jefferis
• 0.003 + - Controlling brain dynamics
• 0.003 + - Brain development
• 0.003 + - MRC Laboratory of Molecular Biology
• 0.003 + - Functional magnetic resonance imaging
• 0.003 + - Ed Bullmore
• 0.003 + - Efficiency of brain
• 0.003 + - Multilayer network
• 0.003 + - Brain
• 0.003 + - Olaf Sporns
• 0.003 + - Santiago Ramón y Cajal
• 0.003 + - University of Cambridge