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 +Privacy and Deanonymization +Deep learning -Social networks +Jupyter/notebook +Recommender system -Language"

Positive matches

• 0.241 + - Machine learning
• 0.121 + - Class imbalance
• 0.061 + - Pathogen transmission
• 0.033 + - Netflix prize
• 0.025 + - Gradient descent
• 0.024 + - IPython notebook
• 0.023 + - Brain network
• 0.022 + - Ulrike von Luxburg
• 0.021 + - Poker
• 0.015 + - Learning
• 0.015 + - IPython
• 0.014 + - Artemy Kolchinsky
• 0.014 + - Jupyter
• 0.013 + - Boosting (machine learning)
• 0.013 + - Future of work
• 0.008 + - scikit-learn
• 0.007 + - Network alignment
• 0.007 + - Residual leanrning
• 0.007 + - Data science
• 0.007 + - Spatial network

Negative matches

• 0.005 + - Metaphor
• 0.005 + - Linguistic relativity
• 0.005 + - Language detection
• 0.005 + - WALS
• 0.005 + - Language of thought
• 0.005 + - Linguistic network
• 0.005 + - Zipf's law
• 0.005 + - Home
• 0.005 + - Language development
• 0.005 + - Happinness
• 0.005 + - English language
• 0.005 + - Evolution of language
• 0.004 + - Linguistic diversity
• 0.003 + - Machine translation
• 0.002 + - Convolutional Neural Network
• 0.002 + - Power law
• 0.001 + - Urban scaling
• 0.001 + - Allometry
• 0.001 + - Pareto principle
• 0.000 + - StanfordNLP