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 +Boosting (machine learning) +Ron Meir -Poker +Deep learning -Machine learning"

Positive matches

• 0.128 + - Class imbalance
• 0.030 + - Recommender system
• 0.027 + - Gradient descent
• 0.027 + - Language
• 0.024 + - Brain network
• 0.022 + - Ulrike von Luxburg
• 0.016 + - Yoav Freund
• 0.016 + - Rob Schapire
• 0.013 + - Learning
• 0.012 + - Jupyter/notebook
• 0.010 + - Privacy and Deanonymization
• 0.009 + - IPython notebook
• 0.008 + - Future of work
• 0.007 + - Residual leanrning
• 0.007 + - Regular expression
• 0.006 + - Spatial network
• 0.006 + - Aging brain
• 0.006 + - scikit-learn
• 0.006 + - Andrew Ng
• 0.005 + - GraphLab

Negative matches

• 0.002 + - Probability
• 0.002 + - Netflix prize
• 0.002 + - Information Theory, Inference, and Learning Algorithms
• 0.002 + - Cross entropy
• 0.002 + - Isomap
• 0.002 + - jQuery
• 0.002 + - Leland McInnes
• 0.002 + - LargeVis
• 0.002 + - David MacKay
• 0.002 + - PCA
• 0.002 + - Jeff Atwood
• 0.002 + - https://developer.mozilla.org/en/JavaScript/Guide
• 0.002 + - Atwood's law
• 0.002 + - David Feldman
• 0.001 + - D3
• 0.001 + - skorch
• 0.001 + - Weka
• 0.001 + - Javascript
• 0.001 + - EM algorithm
• 0.000 + - Jupyter