Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare -Data clustering +Gradient descent -Ulrike von Luxburg +Regex -Dimensionality reduction"

Positive matches

• 0.124 + - Class imbalance
• 0.078 + - Regular expression
• 0.038 + - Neural network
• 0.032 + - Neuron
• 0.032 + - Recommender system
• 0.016 + - Learning
• 0.015 + - Boosting (machine learning)
• 0.013 + - Jupyter/notebook
• 0.013 + - IPython notebook
• 0.012 + - scikit-learn
• 0.012 + - Poker
• 0.011 + - Privacy and Deanonymization
• 0.008 + - Future of work
• 0.007 + - Decision tree
• 0.007 + - Artificial neural network
• 0.007 + - Random forest
• 0.007 + - Sargur Srihari
• 0.006 + - Michael I. Jordan
• 0.006 + - Andrew Ng
• 0.006 + - Kevin Murphy

Negative matches

• 0.037 + - tSNE
• 0.019 + - Flocking
• 0.009 + - MDS
• 0.009 + - UMAP
• 0.009 + - t-SNE
• 0.007 + - PCA
• 0.007 + - LargeVis
• 0.007 + - Leland McInnes
• 0.007 + - Isomap
• 0.002 + - Probability
• 0.002 + - Nikolay Oskolkov
• 0.001 + - Principal component analysis
• 0.001 + - Collective behavior
• 0.001 + - Mike Bostock
• 0.001 + - Cosma Shalizi
• 0.001 + - Jonathon Shlens
• 0.001 + - Lynne J. Williams
• 0.000 + - Lior Pachter
• 0.000 + - Topological data analysis
• 0.000 + - Bee colony