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 +Boosting (machine learning) -Yoav Freund -Deep learning"

Positive matches

• 0.028 + - Paradox
• 0.025 + - Recommender system
• 0.023 + - Gradient descent
• 0.023 + - Probability
• 0.020 + - Rob Schapire
• 0.020 + - Ron Meir
• 0.019 + - Pajek
• 0.015 + - IPython notebook
• 0.014 + - Jupyter/notebook
• 0.012 + - Probability, Paradox, and the Reasonable Person Principle
• 0.008 + - Privacy and Deanonymization
• 0.008 + - Tom M. MItchell
• 0.008 + - Cross validation
• 0.007 + - Michael I. Jordan
• 0.007 + - scikit-learn
• 0.007 + - Naive Bayes classifier
• 0.007 + - GNU Make
• 0.007 + - Sargur Srihari
• 0.007 + - Machine learning for healthcare
• 0.007 + - Learning

Negative matches

• 0.029 + - Language
• 0.007 + - Residual leanrning
• 0.006 + - Amazon EC2
• 0.005 + - Archetype
• 0.003 + - Attention
• 0.002 + - Q-learning
• 0.002 + - Modeling animal behaviors with 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 + - Sentiment analysis
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Yann LeCun
• 0.002 + - Quoc Le
• 0.002 + - Long short-term memory
• 0.002 + - word2vec
• 0.002 + - Autoencoder