Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Python +Machine learning for physical sciences -Paradox +Stability selection -Dimensionality reduction"

Positive matches

• 0.030 + - Gradient descent
• 0.025 + - Probability
• 0.018 + - Recommender system
• 0.016 + - IPython notebook
• 0.016 + - Pajek
• 0.013 + - Jupyter/notebook
• 0.012 + - Learning
• 0.011 + - Boosting (machine learning)
• 0.010 + - scikit-learn
• 0.009 + - Privacy and Deanonymization
• 0.008 + - Regular expression
• 0.008 + - Random forest
• 0.007 + - Decision tree
• 0.007 + - Geovisualization
• 0.006 + - Kevin Murphy
• 0.006 + - Javascript
• 0.006 + - Tom M. MItchell
• 0.006 + - GraphLab
• 0.006 + - Future of work
• 0.006 + - Michael I. Jordan

Negative matches

• 0.036 + - Simpson's paradox
• 0.034 + - Deep learning
• 0.033 + - tSNE
• 0.024 + - Probability, Paradox, and the Reasonable Person Principle
• 0.021 + - Flocking
• 0.009 + - MDS
• 0.009 + - UMAP
• 0.009 + - t-SNE
• 0.007 + - PCA
• 0.007 + - LargeVis
• 0.007 + - Isomap
• 0.007 + - Leland McInnes
• 0.002 + - Principal component analysis
• 0.002 + - Topological data analysis
• 0.001 + - Collective behavior
• 0.001 + - Mike Bostock
• 0.001 + - Michael E. Tipping
• 0.001 + - Bee colony
• 0.001 + - Attention
• 0.001 + - Cosma Shalizi