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 -Netflix prize +Poker -Modular structure of brain"

Positive matches

• 0.240 + - Machine learning
• 0.121 + - Class imbalance
• 0.037 + - Gradient descent
• 0.026 + - Deep learning
• 0.014 + - Learning
• 0.014 + - IPython notebook
• 0.013 + - Jupyter/notebook
• 0.012 + - Boosting (machine learning)
• 0.010 + - Future of work
• 0.008 + - Privacy and Deanonymization
• 0.007 + - Regular expression
• 0.006 + - Aging brain
• 0.006 + - Random forest
• 0.005 + - Andrew Ng
• 0.005 + - Neural network
• 0.004 + - Training dataset
• 0.004 + - scikit-learn
• 0.004 + - Naive Bayes classifier
• 0.004 + - Kevin Murphy
• 0.004 + - Python#Modules_.26_Libraries

Negative matches

• 0.024 + - Brain
• 0.024 + - Community structure
• 0.014 + - Allen Institute for Brain Science
• 0.006 + - Brain structural variation
• 0.006 + - Brain and deep learning
• 0.003 + - Olfaction
• 0.002 + - Paper/Grasby2019genetic
• 0.002 + - MRC Laboratory of Molecular Biology
• 0.002 + - Brain development
• 0.002 + - Community detectability
• 0.002 + - Spectral clustering
• 0.002 + - Functional magnetic resonance imaging
• 0.002 + - University of Cambridge
• 0.002 + - Renaud Lambiotte
• 0.002 + - Ed Bullmore
• 0.002 + - Dmitri B. Chklovskii
• 0.002 + - Gregory Jefferis
• 0.002 + - Physics
• 0.001 + - Directed network
• 0.001 + - Olaf Sporns