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 +Jupyter/notebook +Graph matching +Pathogen transmission -Machine learning"

Positive matches

• 0.106 + - Class imbalance
• 0.051 + - Social network
• 0.042 + - Network alignment
• 0.034 + - Epidemiology
• 0.033 + - Link prediction
• 0.025 + - IPython notebook
• 0.024 + - Brain network
• 0.022 + - Gradient descent
• 0.021 + - Ulrike von Luxburg
• 0.021 + - Poker
• 0.019 + - Recommender system
• 0.017 + - Language
• 0.014 + - Artemy Kolchinsky
• 0.014 + - IPython
• 0.014 + - Jupyter
• 0.011 + - Boosting (machine learning)
• 0.010 + - Identity resolution
• 0.010 + - Data science
• 0.009 + - Arvind Narayanan
• 0.009 + - Degree of anonymity

Negative matches

• 0.002 + - Information Theory, Inference, and Learning Algorithms
• 0.002 + - David MacKay
• 0.002 + - UMAP
• 0.002 + - Ron Meir
• 0.002 + - Netflix prize
• 0.002 + - Yoav Freund
• 0.001 + - David Feldman
• 0.001 + - Tim Hopper
• 0.001 + - Leland McInnes
• 0.001 + - Cross entropy
• 0.001 + - jQuery
• 0.001 + - t-SNE
• 0.001 + - D3
• 0.001 + - Isomap
• 0.001 + - Jeff Atwood
• 0.001 + - Rob Schapire
• 0.001 + - CoffeeScript
• 0.001 + - Closure tools
• 0.001 + - Stability selection
• 0.001 + - Python#Modules_.26_Libraries