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 -Yoav Freund +Decision tree -Deep learning"

Positive matches

• 0.041 + - Random forest
• 0.029 + - Paradox
• 0.022 + - Recommender system
• 0.022 + - Probability
• 0.022 + - Gradient descent
• 0.020 + - Ron Meir
• 0.020 + - Rob Schapire
• 0.014 + - Jupyter/notebook
• 0.013 + - IPython notebook
• 0.012 + - Probability, Paradox, and the Reasonable Person Principle
• 0.009 + - Privacy and Deanonymization
• 0.008 + - Learning
• 0.008 + - Tom M. MItchell
• 0.008 + - Regular expression
• 0.008 + - Cross validation
• 0.007 + - Michael I. Jordan
• 0.007 + - Machine learning for physical sciences
• 0.007 + - Naive Bayes classifier
• 0.007 + - Sargur Srihari
• 0.007 + - Future of work

Negative matches

• 0.027 + - Language
• 0.007 + - Residual leanrning
• 0.005 + - Amazon EC2
• 0.004 + - Attention
• 0.004 + - Archetype
• 0.003 + - Reinforcement learning
• 0.002 + - Machine translation
• 0.002 + - Deep generative models
• 0.002 + - Geoffrey Hinton
• 0.002 + - Beer
• 0.002 + - Natural language processing
• 0.002 + - Neural doodle
• 0.002 + - Meta learning
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yann LeCun
• 0.002 + - Quoc Le
• 0.002 + - Sentiment analysis
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Theano