Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Boosting (machine learning) +EM algorithm -Rob Schapire -Yoav Freund +Dimensionality reduction -GraphLab"

Positive matches

• 0.028 + - Paradox
• 0.027 + - Flocking
• 0.024 + - Probability
• 0.021 + - tSNE
• 0.018 + - Ron Meir
• 0.013 + - Gradient descent
• 0.013 + - Jupyter/notebook
• 0.012 + - IPython notebook
• 0.011 + - Probability, Paradox, and the Reasonable Person Principle
• 0.010 + - PCA
• 0.010 + - UMAP
• 0.010 + - t-SNE
• 0.010 + - Isomap
• 0.009 + - Recommender system
• 0.008 + - MDS
• 0.008 + - Leland McInnes
• 0.008 + - LargeVis
• 0.008 + - Privacy and Deanonymization
• 0.007 + - Tom M. MItchell
• 0.007 + - Image completion

Negative matches

• 0.049 + - Deep learning
• 0.022 + - Network analysis libraries
• 0.005 + - Meta learning
• 0.005 + - Neural doodle
• 0.004 + - Language
• 0.004 + - Attention (Deep learning)
• 0.003 + - Machine translation
• 0.003 + - Residual Learning
• 0.003 + - Deep generative models
• 0.002 + - Beer
• 0.002 + - Paper/Gatys2015
• 0.002 + - Theano
• 0.002 + - Residual leanrning
• 0.001 + - Long short-term memory
• 0.001 + - Dropout
• 0.001 + - Generative adversarial network
• 0.001 + - Amazon Elastic Compute Cloud
• 0.001 + - Natural language processing
• 0.001 + - Paper/Hochreiter1997
• 0.001 + - Recurrent neural network